tag:blogger.com,1999:blog-4603212748463528962024-03-28T01:15:51.838-07:00Real Time Communications BitsNews, Trends and Articles around Real Time CommunicationsGustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.comBlogger46125tag:blogger.com,1999:blog-460321274846352896.post-61625342484845367252024-01-18T05:04:00.000-08:002024-01-18T12:06:00.072-08:00Loss based bandwidth estimation in WebRTC<div class="separator"></div><p>Measuring available bandwidth and avoiding congestion is the most critical and complex part of the video pipeline in WebRTC. The concept of bandwidth estimation (BWE) is simple: monitor packet latency, and if latency increases or packet loss occurs, back off and send less data. The first part is known as delay-based estimation, while the second part, less known, is referred to as loss-based estimation.</p>
<p>In the original implementation of WebRTC, the logic for loss-based estimation was straightforward: if there was more than 2% packet loss don't increase the bitrate sent and if it is more than 10% reduce the bitrate being sent. However, this naive approach had a flaw. Some networks also experience packet loss not due to congestion but inherent to the network itself (e.g., certain WiFi networks). We call that packet loss static or inherent packet loss.</p>
<p class="graf graf--p" name="b2b7"></p><figure class="graf graf--figure" name="e685" style="margin-left: 1em; margin-right: 1em;"><img class="graf-image" data-height="162" data-image-id="1*lDiG900xdW1wUOGVzqF7QQ.png" data-width="867" height="120" src="https://cdn-images-1.medium.com/max/1200/1*lDiG900xdW1wUOGVzqF7QQ.png" width="640" /></figure>To address this issue, the latest versions of Google’s WebRTC library introduced a more modern and sophisticated solution after several years of development and experimentation. This solution is known as loss-based bandwidth estimation version 2 (loss-based BWE v2) and it is the third iteration on the feature in the history of WebRTC. We can summarize that evolution of it in the following timeline:<p></p><ul class="postList"><li class="graf graf--li" name="f1a6">Basic loss based bwe (~2011): Based on static thresholds for packet loss to increase / decrease bwe. <a class="markup--anchor markup--li-anchor" data-href="https://chromium.googlesource.com/external/webrtc/+/master/modules/congestion_controller/goog_cc/send_side_bandwidth_estimation.cc#548" href="https://chromium.googlesource.com/external/webrtc/+/master/modules/congestion_controller/goog_cc/send_side_bandwidth_estimation.cc#548" rel="noopener" target="_blank">Source Code</a></li><li class="graf graf--li" name="f92e">Loss based bwe v1 (~2019): Dynamic thresholds for packet loss and smoothing of measurements. <a class="markup--anchor markup--li-anchor" data-href="https://chromium.googlesource.com/external/webrtc/+/master/modules/congestion_controller/goog_cc/loss_based_bandwidth_estimation.cc" href="https://chromium.googlesource.com/external/webrtc/+/master/modules/congestion_controller/goog_cc/loss_based_bandwidth_estimation.cc" rel="noopener" target="_blank">Source Code</a></li><li class="graf graf--li" name="239f">Loss based bwe v2 (2023): Maximum likelihood modeling from candidates based on current packet loss and trends. <a class="markup--anchor markup--li-anchor" data-href="https://chromium.googlesource.com/external/webrtc/+/master/modules/congestion_controller/goog_cc/loss_based_bwe_v2.cc" href="https://chromium.googlesource.com/external/webrtc/+/master/modules/congestion_controller/goog_cc/loss_based_bwe_v2.cc" rel="noopener" target="_blank">Source Code</a>, <a class="markup--anchor markup--li-anchor" data-href="https://bugs.chromium.org/p/webrtc/issues/detail?id=12707" href="https://bugs.chromium.org/p/webrtc/issues/detail?id=12707" rel="noopener" target="_blank">Tracker Ticket</a></li></ul>
<p>This post will focus on describing that newest solution (loss based bwe v2) enabled this year in Chrome and all the browsers and clients based on the same library.</p>
<p><strong>Loss based BWE v2</strong></p>
<p>At a very high level this diagram shows how loss based bwe is integrated in the estimation logic and what are the inputs taken into account. The loss based estimation takes as input the estimation from delay based estimation and based on that an the packet loss feedback received from the packets being sent it will try to provide a final estimation.</p><figure class="graf graf--figure" name="33b7"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhCfcuG3ToXJg5ixAbaC2i8RLKTWU5CGqN4mzlhaqrIIOtwctW5GeGIR4qzyQ86CFzea03U8Gnqq130Qf7tMkF5oAAyQsVqCD9p2oWH95kJTs8nQK6HOcS27Lgzpqd1jIWvChzD_iRnsUtyX-yFu3zF7GmxhtuRWNbmguaIpFcuuFmGyy2_D9R920iB2Ww" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="454" data-original-width="457" height="397" src="https://blogger.googleusercontent.com/img/a/AVvXsEhCfcuG3ToXJg5ixAbaC2i8RLKTWU5CGqN4mzlhaqrIIOtwctW5GeGIR4qzyQ86CFzea03U8Gnqq130Qf7tMkF5oAAyQsVqCD9p2oWH95kJTs8nQK6HOcS27Lgzpqd1jIWvChzD_iRnsUtyX-yFu3zF7GmxhtuRWNbmguaIpFcuuFmGyy2_D9R920iB2Ww=w400-h397" width="400" /></a></div><br /></figure>
<p>The new loss based BWE v2 runs the following steps every time it needs to provide a new estimation:</p>
<p>1/ First, it generates a list of potential candidates that describe the network's (also known as channel's) characteristics. In this case, the characteristics considered are the available bandwidth and the inherent packet loss of the network.</p>
<p>1.a. Bandwidth candidates are sourced from different areas. Essentially, delay-based estimations, the most recent loss-based estimations, and the bitrate being sent are all considered. These are then multiplied by certain factors (0.95, 1, 1.02) to generate potential additional new bandwidth candidates.</p>
<p>1.b. The inherent packet loss candidate is derived from the latest estimation. It is updated based on the trend of recent observations, using Newton's update method which is based on first and second derivatives. Additionally, there are limits based on the sent bitrate - at higher bitrates, the inherent packet loss should not be too high.</p>
<p>2/ Second, the algorithm selects the candidate that can most accurately explain the packet loss in the most recent observations. For that it calculates an objective score for each candidate and this is the maximum likelihood modeling aspect of the algorithm.</p>
<p>Those two steps can be seen in this snippet of the real code that summarize the concept of the algorithm: </p>
<pre><code class="language-cpp"> ChannelParameters best_candidate = current_best_estimate_;
double objective_max = std::numeric_limits<double>::lowest();
for (ChannelParameters candidate : GetCandidates(in_alr)) {
NewtonsMethodUpdate(candidate);
const double candidate_objective = GetObjective(candidate);
if (candidate_objective > objective_max) {
objective_max = candidate_objective;
best_candidate = candidate;
}
}
</code></pre>
<p>The bandwidth of the chosen candidate with the highest objective score in this last step is then reported as the final estimation that will be used to decide how much video to encode and send to the network.</p>
<p>Although the algorithm appears simple based on this description, the coding process is far from trivial. Despite its relatively small size, it features over 30 tuneable parameters. If you're skeptical, you can review the issue tracker history. You'll see it took more than two years to develop, optimise, and deploy this new feature to production.</p>
<p>What do you think? As usual feedback is more than welcomed either here or <a href="https://www.blogger.com/blog/post/edit/460321274846352896/1447126812316647064#">in Twitter</a>.</p>
<!--notionvc: 8bd5714e-d31f-4b32-984c-4caf5837d980-->Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com0tag:blogger.com,1999:blog-460321274846352896.post-80115423288147288432023-08-27T11:17:00.004-07:002023-08-27T11:25:09.219-07:00Audio Mixing or Forwarding<p>How many audio streams should your WebRTC server forward to the participants in a room? There are various options, ranging from the simplest approach of forwarding everything, to the most extreme option of mixing all audio and sending just a single stream.</p>
<p>A few weeks ago, we engaged in <a class="notion-link-token notion-focusable-token notion-enable-hover" data-token-index="1" href="https://twitter.com/anarchyco/status/1678780208462331906" rel="noopener noreferrer" style="cursor: pointer; overflow-wrap: break-word; text-decoration: inherit;" tabindex="0"><span class="link-annotation-unknown-block-id-74022133" style="border-bottom: 0.05em solid rgba(55, 53, 47, 0.4); border-color: rgba(55,53,47,.4); border-left-color: rgba(55, 53, 47, 0.4); border-right-color: rgba(55, 53, 47, 0.4); border-top-color: rgba(55, 53, 47, 0.4); opacity: 0.7;">a Twitter conversation about this very topic</span></a>. Following that discussion, bloggeek also wrote <a class="notion-link-token notion-focusable-token notion-enable-hover" data-token-index="3" href="https://bloggeek.me/webrtc-conferences-mix-or-route-audio/" rel="noopener noreferrer" style="cursor: pointer; overflow-wrap: break-word; text-decoration: inherit;" tabindex="0"><span class="link-annotation-unknown-block-id--2113991618" style="border-bottom: 0.05em solid rgba(55, 53, 47, 0.4); border-color: rgba(55,53,47,.4); border-left-color: rgba(55, 53, 47, 0.4); border-right-color: rgba(55, 53, 47, 0.4); border-top-color: rgba(55, 53, 47, 0.4); opacity: 0.7;">a post on the subject</span></a>. For me it is always interesting to see what different types of applications are doing because at least in some of those cases they have the ability to do A/B testing and compare the results with millions of users before making a decision.</p>
<p>The simplest way to determine the best approach is to enter a room with different applications and inspect the SDP (Session Description Protocol) in <strong><code>chrome://webrtc-internals</code></strong>. Within this tool, you can examine how many channels are being forwarded when you're in a room and look for potential clues within the SDP (some people use the "mixed" identifier for audio tracks, among other things). For example in case of Google Meet you can see in the SDP that joining a room you get 3 hardcoded audio streams created:</p>
<p></p><div class="separator" style="clear: both; text-align: center;"><span style="font-family: courier;">m=audio 9 UDP/TLS/RTP/SAVPF 111 63 9 0 8 13 110 126, mid=3<br class="Apple-interchange-newline" />m=audio 9 UDP/TLS/RTP/SAVPF 111 63 9 0 8 13 110 126, mid=4</span></div><div class="separator" style="clear: both; text-align: center;"><span style="font-family: courier;">m=audio 9 UDP/TLS/RTP/SAVPF 111 63 9 0 8 13 110 126, mid=5</span></div><p></p><p>All the tests below were done with the web clients and Zoom was not included because it doens't make use of standard WebRTC and everything is binary&compiled so it would take more effort to reverse engineer it (for example analysing the audio bitrates when multiple participants speak).</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEg0pe3i33T5ZOgyR73OLmOHNss1RLFMfH2eQJoJLcpVBxFWQah97pNbvMDrOSwuCdQtm4GGrShnnhvB0NDU4zIX5ZjP9AQmnmtk6LWNf5rshaE3V8x3P4Ub4mjghqYgMT_7_c3_BVRHdJ-qZc6_VloCNop4TwxcSzxOA2WO7nfcmHnBrUpMIzUqBs8HPrM" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="940" data-original-width="1600" height="376" src="https://blogger.googleusercontent.com/img/a/AVvXsEg0pe3i33T5ZOgyR73OLmOHNss1RLFMfH2eQJoJLcpVBxFWQah97pNbvMDrOSwuCdQtm4GGrShnnhvB0NDU4zIX5ZjP9AQmnmtk6LWNf5rshaE3V8x3P4Ub4mjghqYgMT_7_c3_BVRHdJ-qZc6_VloCNop4TwxcSzxOA2WO7nfcmHnBrUpMIzUqBs8HPrM=w640-h376" width="640" /></a></div><p></p><p>What's the optimal approach for this task? There isn't a one-size-fits-all solution; it hinges on your particular use case and specific requirements. The most straightforward implementation is plain forwarding, which is what the majority of open-source projects and platforms employ. Interestingly, enterprise solutions tend to lean toward mixing. This inclination might be attributed to the fact that these services have evolved from earlier audio mixing solutions, the necessity for PSTN interconnection, or the need to accommodate unusual scenarios, such as devices with extremely limited available bandwidth.</p>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com0tag:blogger.com,1999:blog-460321274846352896.post-32879247999492792962023-07-11T07:47:00.003-07:002023-07-11T07:47:39.385-07:00Architecture for AI integration in conferencing applications<p>With the latest improvements in ML technology, especially generative algorithms and large language models, more and more conferencing applications are adding these capabilities to their offerings.</p><p class="graf graf--p" name="9d88">This ML technology can be applied to conferencing applications at two different levels: <strong class="markup--strong markup--p-strong">the infrastructure level</strong> with improvements in media handling and transmission, and <strong class="markup--strong markup--p-strong">the application level</strong> with new features or capabilities for the users.</p><p class="graf graf--p" name="5fea">At the infrastructure level (codecs, noise suppression, etc.) most of the high-level ideas were covered in this <a class="markup--anchor markup--p-anchor" data-href="http://www.rtcbits.com/2017/10/improving-real-time-communications-with.html" href="http://www.rtcbits.com/2017/10/improving-real-time-communications-with.html" rel="noopener" target="_blank">other post</a>. Some interesting recent advances are applying “ML codecs” for audio redundancy, and the next frontier is applying generative algorithms also to video, as well as general applications to photorealistic avatars.</p><p class="graf graf--p" name="3821">This post focuses on the second level (the application part) and how to implement typical features such as summarization, image generation, or moderation. The idea here is to present a reference architecture that can be used to implement these services.</p><p class="graf graf--p" name="f1d7">The architecture presented below is based on two core ideas:</p><p class="graf graf--p" name="f1d7">1. The system is split into three different subsystems that have different execution patterns:</p><ul class="postList"><li class="graf graf--li" name="1fc9">One on-demand subsystem that the application can use to request specific capabilities when needed.</li><li class="graf graf--li" name="5890">One offline subsystem that processes files, events and recordings in the background for enhancement, filtering, or extracting relevant information. This system has a tradicional storage bucket as backend (f.e. AWS S3).</li><li class="graf graf--li" name="e9ee">One online subsystem that processes all communication events (messaging, signaling, messaging) in almost real-time to make decisions, extract information, or enhance those events. This system has a streaming queue as backend (f.e Apache Kafka).</li></ul><p class="graf graf--p" name="83bd">2. All the ML algorithms are exposed behind an API/Gateway to abstract details of the implementation and interface with hosted models and external providers.</p><figure class="graf graf--figure" name="6a9b"><img class="graf-image" data-height="764" data-image-id="1*vAndW35B6s044dVycv1ZHw.png" data-width="1104" src="https://cdn-images-1.medium.com/max/800/1*vAndW35B6s044dVycv1ZHw.png" /></figure><p class="graf graf--p" name="3134">With that architecture these are some typical features and how they could be implemented:</p><ul class="postList"><li class="graf graf--li" name="db95">Media generation (images, music, memes…) can be requested from the application when requested by the user or automatically when needed by the application.</li><li class="graf graf--li" name="f6d0">Enhanced recordings, for example with the typical super-resolution algorithms, can be generated by a background post-processing process ran every time there is a new recording generated in the storage bucket.</li><li class="graf graf--li" name="a933">Real time extraction of relevant fields from the conversation (f.e. action items) can be implemented with a process reading the captions from the queue, grouping them in chunks by topic or speaker, and then sending those chunks to the AI Gateway. That information can be fed back to the queue so that other processes or the application can make use of them.</li></ul><p class="graf graf--p" name="ddfd">This post express my personal views. Feedback is more than welcomed either here or <a class="notion-link-token notion-focusable-token notion-enable-hover" data-token-index="1" href="https://www.blogger.com/blog/post/edit/460321274846352896/7591444044709966579#" rel="noopener noreferrer" style="cursor: pointer; overflow-wrap: break-word; text-decoration: inherit;" tabindex="0"><span class="link-annotation-unknown-block-id--1099700321" style="border-bottom: 0.05em solid rgba(55, 53, 47, 0.4); border-color: rgba(55,53,47,0.4); border-left-color: rgba(55, 53, 47, 0.4); border-right-color: rgba(55, 53, 47, 0.4); border-top-color: rgba(55, 53, 47, 0.4); opacity: 0.7;">in Twitter</span></a>.</p>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com0tag:blogger.com,1999:blog-460321274846352896.post-23075041561316003412023-05-24T22:05:00.007-07:002023-05-29T02:02:15.352-07:00Review of Signaling in different WebRTC applications<p> </p><p>This post provides a quick review of the signaling channel implementation in various popular WebRTC platforms. It examines the protocol used for the channel, how messages are serialized, and whether the applications use Session Description Protocol (SDP) as an opaque string over the wire, or if they instead send the required parameters in a custom format.</p>
<p>To provide a variety of platforms, I have included a mix of popular end-user applications, cloud providers, and open-source implementations in the table. If you would like, I am happy to add others to the list.</p>
<div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiwQuILLRWQppPn_fvDI7pxq6Lpf7K5fiThGn4PYcgzcpSq-AkQZyoUU2UwLQJ8BoooLxsBxDyvkQeicjkXw9tMxRv-Zce6ld0Ep67n01GtnhTa25OUgYh4zmfK2SrlNmPU7-XTfeHR8v7pCwQM881yxnFq15ewwQ-ZZbPe1I6qi0PPBBeQmSd0PwlX" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="689" data-original-width="854" height="517" src="https://blogger.googleusercontent.com/img/a/AVvXsEiwQuILLRWQppPn_fvDI7pxq6Lpf7K5fiThGn4PYcgzcpSq-AkQZyoUU2UwLQJ8BoooLxsBxDyvkQeicjkXw9tMxRv-Zce6ld0Ep67n01GtnhTa25OUgYh4zmfK2SrlNmPU7-XTfeHR8v7pCwQM881yxnFq15ewwQ-ZZbPe1I6qi0PPBBeQmSd0PwlX=w640-h517" width="640" /></a></div></div></div></div></div><h2 style="text-align: left;">How was it tested?</h2>
<p>To test it, join a room and check in Chrome Developer Tools whether there are WebSocket connections established or periodic HTTP requests being made.
Then, inspect the messages of those connections and requests and check if the format is Binary/JSON/XML. In case of Binary messages, it's harder to see the content, and there's a chance that the information is compressed/encrypted, and there's some JSON or SDP inside.</p>
<p>Next, look inside those messages for the typical information in SDP description, such as ufrag, header extensions, and payload types, and see how they are sent.</p>
<h2 style="text-align: left;">Transport:</h2>
<p>Most applications seem to use WebSockets, but some of the biggest ones use HTTP polling. This may be due to historical reasons, to better handle specific users with restricted networks or devices, or to react faster to disconnections in unstable connections.</p>
<p>In case of Google Meet it looks like part of the signaling goes over datachannels in addition to the existing HTTP long polling mechanism.</p>
<h2 style="text-align: left;">Serialization:</h2>
<p>The serialization formats are all over the place between binary (the most efficient), JSON (the simplest) and XML in case of using XMPP. Using JSON can be less efficient over the wire but require less libraries/runtime to process it in a browser. The ProtoJSON approach used by Google Meet looks like a good compromise in the middle.</p><h2 style="text-align: left;">SDP Usage:</h2>
<p>Most applications seem to not use SDPs over the wire. Instead they only send the parameters needed and keep the SDPs as an implementation detail in the client side. That's slightly more efficient and gives you more flexibility but it is less straightforward to ad those conversions if all your endpoints are libwebrtc based.</p><p><br />The conclusion could be that there is no single right solution for WebRTC signaling but different alternatives that all of them can work well. However two of the most common approaches seems to be using WebSockets and not sending SDP on the wire that is something that personally I'm very happy about.<br />Did you find something else interesting or maybe even something that is not accurate in this post? Feedback is more than welcomed either here or <a class="notion-link-token notion-focusable-token notion-enable-hover" data-token-index="1" href="https://www.blogger.com/blog/post/edit/460321274846352896/7591444044709966579#" rel="noopener noreferrer" style="cursor: pointer; overflow-wrap: break-word; text-decoration: inherit;" tabindex="0"><span class="link-annotation-unknown-block-id--1099700321" style="border-bottom: 0.05em solid rgba(55, 53, 47, 0.4); border-color: rgba(55,53,47,0.4); border-left-color: rgba(55, 53, 47, 0.4); border-right-color: rgba(55, 53, 47, 0.4); border-top-color: rgba(55, 53, 47, 0.4); opacity: 0.7;">in Twitter</span></a>.<br /><br /></p>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com0tag:blogger.com,1999:blog-460321274846352896.post-75914440447099665792023-05-15T22:10:00.003-07:002023-05-16T03:01:31.021-07:00Perfect Interactive Broadcasting Architecture<p><br /></p><p>While we might sometimes talk about low-latency or interactive broadcasting in a generic way, it's important to note that there are actually two distinct types of streaming use cases that require different levels of interactivity.</p>
<ul>
<li><strong>Conversational use cases where multiple participants are talking</strong> together and that conversation is being streamed to many other viewers. These viewers can potentially become speakers at some point too.</li>
<li><strong>Single stream use cases where just one person is streaming their video feed</strong> (it can be their camera, their screen, or a combination of both) to many other viewers who can interact in different ways. The most obvious way is through chat messages, but it can also include emoji reactions or even bids on an auction being streamed.</li>
</ul>
<p>The conversational use case has specific requirements. For instance, it demands effective synchronization of multiple streams, ultra-low latency (less than 250ms) only between the users who are speaking, and an element that performs video composition of all the streams prior to forwarding it to viewers. There are a variety of approaches to implementing this, each with its own set of pros and cons, as exemplified by top products like Streamyard or the way Twitch streamers use to integrate Discord into their streams.</p>
<p>This post is primarily focused on the second category, which pertains to single stream use cases. What makes this particular use case compelling is:</p>
<ul>
<li>That single stream needs to be streamed with <strong>perfect quality</strong> if there are no network limitations. If there are network limitations, it should be streamed with the best possible quality in real-time and send the additional quality layer in the background/later to have at least the recording with the best possible quality.</li>
<li>There is a single stream being sent so there is <strong>no need for synchronization</strong> of multiple sources.</li>
<li>You usually don't need < 250ms latency and can <strong>prioritize providing a bit higher quality</strong> and have 1-2sec latency.</li>
</ul>
<p>One potential requirement for these use cases is support for various endpoints such as browsers, mobile devices, smart TVs, consoles, and mobile phones. These devices have different capabilities in terms of networking, protocols, and codecs.</p>
<p>What would be the perfect solution in terms of quality and flexibility for this type of scenarios? (assuming infinite time to develop it and money to run it :))</p><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhmXytjZw-8TgOvDJ4dSEp-dJsF68uQ40m2RkjTWGkS3u8gM_tFFo2MKMBssuwvD6uxnw9vUHgR1Le6fq-seq1dnekd-6bdTgrTfro6ciZEihN2Xqz8hS2S2-XUSFgAm-9lIc9MURzR3jgjHsvrk5vSd3SHenyeUaPBsUkq-bFmomnsLCyV9DGC7wcV" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="393" data-original-width="1331" height="188" src="https://blogger.googleusercontent.com/img/a/AVvXsEhmXytjZw-8TgOvDJ4dSEp-dJsF68uQ40m2RkjTWGkS3u8gM_tFFo2MKMBssuwvD6uxnw9vUHgR1Le6fq-seq1dnekd-6bdTgrTfro6ciZEihN2Xqz8hS2S2-XUSFgAm-9lIc9MURzR3jgjHsvrk5vSd3SHenyeUaPBsUkq-bFmomnsLCyV9DGC7wcV=w640-h188" width="640" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;"><h3 style="text-align: left;">Ingestion</h3>
<p>Use the best available codec for the endpoint, taking into account device capabilities and status (such as battery load). In many cases, this could be the AV1 video codec with a high-quality Opus audio configuration.</p>
<p>If possible, send a single stream with perfect quality. However, if there are network issues in the sender's uplink, send two layers of video instead. One layer should maintain the low-latency requirement, while the other can be sent in the background with as much latency as needed. This ensures that the server will end up with a layer of perfect quality eventually.</p>
<p>To provide low-latency delivery in the presence of packet loss in the network, use a UDP-based transport. There are different alternatives available, such as SRT, WebRTC, RUSH, and custom protocols. Let's use RTS (Real Time Streaming) as a generic name for this. If the protocol needs to be supported by browsers as well, then either WebRTC or a custom QUIC/WebTransport protocol seem like reasonable candidates. However, in the case of WebRTC, it may be harder to implement the previous idea of always having a layer with perfect quality in background, and may require some workarounds.</p>
<h3 style="text-align: left;">Processing</h3>
<p>There are a variety of audio and video processing algorithms that are gaining popularity, such as audio and video noise removal and superresolution. However, some of these algorithms are too resource-intensive to run on many client devices.</p>
<p>Furthermore, the most appropriate codec on the sender side may not always be the best or supported by all receivers.</p>
<p class="graf graf--p" name="f933">For these reasons, a server processing pipeline that includes decoding, processing, and reencoding can be highly advantageous. There are also other tasks that can be incorporated into this pipeline, such as generating captions or adding watermarks to videos.</p><p class="graf graf--p" name="b580">This is the most expensive component of the system, and for some applications, it may be excessive and should be eliminated or only applied to the most important streams. If there is no Processing layer in the server then the solution becomes much simpler with the sender generating video streams in multiple qualities and the server just forwarding them without reencoding them.</p>
<h3 style="text-align: left;">Delivery</h3>
<p>Different devices require different qualities and codecs. Additionally, some devices may be limited to HLS support, so varying protocols may be necessary.</p><p>In most cases, server side recording is also necessary.</p><p>For use cases that really require real-time functionality (probably not that many), the RTS protocol can be used. This protocol can provide different media versions, including various resolutions, bitrates, and codecs, which can be distributed using a Real Time CDN. For example, WebRTC can use SFUs infrastructure with this protocol.</p><p>
</p><p>For use cases that require interactivity, but not real-time functionality (most of them?), or that require compatibility with legacy devices, the LL-HLS protocol can be used. Like the RTS protocol, LL-HLS offers different media versions that can be distributed using a Traditional CDN.<br /><br /></p>
<p>And that was the proposal for a possible “perfect” broadcasting architecture for interactive use cases would look like. What do you think? As usual feedback is more than welcomed either here or <a class="notion-link-token notion-focusable-token notion-enable-hover" data-token-index="1" href="https://www.blogger.com/blog/post/edit/460321274846352896/1447126812316647064#" rel="noopener noreferrer" style="cursor: pointer; overflow-wrap: break-word; text-decoration: inherit;" tabindex="0"><span class="link-annotation-unknown-block-id-403954376" style="border-bottom: 0.05em solid rgba(55, 53, 47, 0.4); border-color: rgba(55,53,47,0.4); border-left-color: rgba(55, 53, 47, 0.4); border-right-color: rgba(55, 53, 47, 0.4); border-top-color: rgba(55, 53, 47, 0.4); opacity: 0.7;">in Twitter</span></a>.</p><br /></div><p></p>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com0tag:blogger.com,1999:blog-460321274846352896.post-49316733868069284002023-05-01T07:51:00.011-07:002023-05-02T13:19:16.971-07:00WebRTC header extensions review<p>WebRTC supports the concept of RTP header extensions to extend media packets with additional metadata. One of the most common use cases is to attach the audio level to audio packets so that the server can calculate active speakers without having to decode the audio packets.</p><p>Some of these header extensions are standard and have been used for a while, but there are others that are added by Google when needed and are only documented lightly in the website and the libwebrtc code. Those header extensions and its usage is not very well know and this post is an attempt to give visibility of them for the WebRTC community.</p><p>To discover some of these headers you can usually take a look at the Offer/Answer of a Google Meet session or take a look at the libwebrtc source code here: https://chromium.googlesource.com/external/webrtc/+/master/api/rtp_parameters.h</p><p><br /></p><p><b>Audio Levels</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">urn:ietf:params:rtp-hdrext:ssrc-audio-level</span>) <a href="https://tools.ietf.org/html/rfc6464">Doc</a><br />[Very common]</p><p>The header contains the audio level (volume) of the audio contained in this audio package, as well as an optional bit (not usually utilized) that indicates if the packet is voice or another sort of audio.</p><p>Use case: A server not decoding audio can still detect the active and/or dominant speaker in a session.</p><p><b>Mixer to client audio levels</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">urn:ietf:params:rtp-hdrext:csrc-audio-level</span>) <a href="https://www.rfc-editor.org/rfc/rfc6465.html">Doc</a> <br />[Not very common but Google Meet uses it]</p><p>This header extension includes information about the different sources contributing to the audio of this packet and their audio levels.</p><p>Use case: If a server combines or merges audio, an audio stream can portray various speakers simultaneously, and this header enables the receiver to identify the particular user who was speaking during that period.</p><p><b>Inband Confort Noise</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/inband-c</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/inband-c">Doc</a><br />[Anybody using it?]</p><p>This header extension informs if the audio packet includes confort noise and its level.</p><p>Use case: A server could de-prioritize these packets or avoid including them in the mixing. A receiver could use it as a hint for discontinuous transmission being enabled.</p><p><b>Absolute Send Time</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/abs-send-time</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/abs-send-time">Doc</a><br />[Legacy]</p><p>This header extension includes an NTP timestamp for when the packet was sent instead of when the media was captured.</p><p>Use case: The main use case is for server side bandwidth estimation to be able to detect changes in inter packet latency and use it to estimate the bandwidth available and send it back to the sender (f.e. using a REMB RTCP packet) if needed.</p><p><b>Capture Time</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/abs-capture-time</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/abs-capture-time">Doc</a><br />[Not very common but Google Meet uses it]</p><p>This header extension includes an NTP timestamp for when the frame corresponding to this packet was captured from the input device.</p><p>Use case: Implement audio/video synchronization in servers, for example for mixing purposes.</p><p><b>Transport Wide Identifier</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.ietf.org/id/draft-holmer-rmcat-transport-wide-cc-extensions-01</span>) <a href="http://www.ietf.org/id/draft-holmer-rmcat-transport-wide-cc-extensions-01">Doc</a><br />[Almost always used]</p><p>This header extension includes an unique identifier for each packet so that the receiver can then send feedback back to the sender with relative timestamps of those packets with those identifiers. There is a v2 version that gives more control to the sender on when to receive feedback.</p><p>Use case: It is only used to generate TransportControlFeedback packets including the inter packet delay for those identifiers included in the header extension.</p><p><b>Media Identifier</b> (mid) (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">urn:ietf:params:rtp-hdrext:sdes:mid</span>) <a href="https://tools.ietf.org/html/draft-ietf-mmusic-sdp-bundle-negotiation-49#section-15">Doc</a><br />[Almost always used]<br /></p><p>This header extension includes an ID for the media stream that is also included in the SDP. </p><p>Use case: This way the server or the receiver can understand what media stream those packets are for. To save bandwidth this header extension is only included in the first packets of a stream or when the ssrc changes.<br /></p><p><b>RTP Stream ID</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">urn:ietf:params:rtp-hdrext:sdes:rtp-stream-id</span>) <a href="https://datatracker.ietf.org/doc/html/draft-ietf-avtext-rid-09">Doc</a><br />[Very common]</p><p>This header extension includes the identifier of each encoding of a stream (f.e. a simulcast layer).</p><p>Use case: It is similar to the mid header extension described above but in this case to differentiate multiple encodings in case of simulcast. </p><p><b>Repaired RTP Stream ID</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">urn:ietf:params:rtp-hdrext:sdes:repaired-rtp-stream-id</span>) <a href="https://datatracker.ietf.org/doc/html/draft-ietf-avtext-rid-09">Doc</a><br />[Very common]</p><p>This header extension includes the identifier of retransmission packets that provide redundancy for packets in other RTP stream.<br /></p><p>Use case: Differentiate and associate retransmissions to the corresponding RTP stream. </p><p><b>Time Offset</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">urn:ietf:params:rtp-hdrext:toffset</span>) <a href="https://www.rfc-editor.org/rfc/rfc5450.txt">Doc</a><br />[Anybody using it?]</p><p>Includes the offset from when the packet was captured to when it was sent.</p><p>Use case: Allow more accurate jitter calculation in the receiver side.<br /></p><p><b>Video orientation</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">urn:3gpp:video-orientation</span>) <a href="http://www.etsi.org/deliver/etsi_ts/126100_126199/126114/12.07.00_60/ts_126114v120700p.pdf">Doc</a><br />[Commonly used, the only problem is firefox]</p><p>This header extension includes the rotation that needs to be applied to the video frames before rendering them (0, 90, 180, 270 degrees). This way a phone sending a 640x480 video in landscape mode can keep sending 640x480 with a value of 90 in the header extension when rotating the phone to portrait mode.</p><p>Use case: Used by the sender to avoid having to change the aspect ratio of the stream when a device (usually a phone) goes from portrait to landscape. This is not supported by Firefox making it tricky for some use cases.</p><p><b>Playout Delay</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/playout-delay</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/playout-delay)">Doc</a><br />[Not very commonly used, mostly for gamestreaming use cases]</p><p>This header extension includes a delay that should be applied to this audio or video stream before rendering it.</p><p>Use case: Used by the sender or a server to indicate the receiver that it needs minimum latency (playout delay=0) or it can tolerate some latency to have better quality (f.e. playout delay 500ms). This behaviour can also be controled with the javascript property playoutDelayHint</p><p><b>Video Content Type</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/video-content-type</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/video-content-type">Doc</a><br />[Not very commonly used]</p><p>This header extension includes information about the type of content (camera or screensharing). Chrome also includes some even more proprietary stuff here to define the spatial layer of this simulcast stream.</p><p>Use case: Used by a server to apply different . It could potentially be used by a receiver too to tune some latency or retransmissions behaviour but apparently it is not used for that in Chrome.</p><p><b>Video Timing</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/video-timing</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/video-timing">Doc</a><br />[Not very commonly used. Google Meet only maybe?]</p><p>This header includes different timestamps for the media corresponding with a specific frame (encode start, encode end, packetization time, pacer time).</p><p>Use case: I think the main use case is for monitoring, testing and statistics purposes.</p><p><b>Color Space</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/color-space</span>) <a href="(http://www.webrtc.org/experiments/rtp-hdrext/color-space">Doc</a><br />[Not very commonly used. Stadia?] </p><p>This header extension includes the color space used to represent the video frames information.<br /><br />Use case: Encode video represented in different color spaces.</p><p><b>Generic Frame Descriptor</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/generic-frame-descriptor-00</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/generic-frame-descriptor-00">Doc</a><br />[Legacy. Mostly replaced with the Dependency Descriptor hdrext below]</p><p>This header extension includes the information about layers and dependencies of a frame for scalable video. </p><p>Use case: Used by a server to be able to filter different frames and resolutions properly in a code-independent way. </p><p><b>Video Layers allocation</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/video-layers-allocation00</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/video-layers-allocation00">Doc</a><br />[Not very commonly used. Google Meet uses it.]</p><p>This header extension includes information for streams using scalable video coding or simulcast about the spatial layers, the temporal layers, their resolutions, framerates and bitrates.</p><p>Use case: Otherwise the server needs to guess some of this information (f.e. bitrates) to make decissions on what layers to forward to each participant, leading to less accurate values and more complexity.</p><p><b>Dependency descriptor</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">https://aomediacodec.github.io/av1-rtp-spec/#dependency-descriptor-rtp-header-extension</span>) <a href="https://aomediacodec.github.io/av1-rtp-spec/#dependency-descriptor-rtp-header-extension">Doc</a><br />[Not very commonly used. Google Meet uses it.]</p><p>This header extension includes the information about layers and dependencies of a frame for scalable video. It was designed for AV1 but can be used for other codecs (f.e. VP9).</p><p>Use case: Used by a selective forwarding unit to be able to filter different frames and resolutions properly in a code-independent way. It is the same purpose as the legacy Generic Frame Descriptor included above.</p><p><b>Video Frame Tracking Id</b> (<span style="background-color: white; color: #a31515; font-family: Menlo, Monaco, "Courier New", monospace; font-size: 12px; white-space: pre;">http://www.webrtc.org/experiments/rtp-hdrext/video-frame-tracking-id</span>) <a href="http://www.webrtc.org/experiments/rtp-hdrext/video-frame-tracking-id">Doc</a> <br />[Only for testing]</p><p>Header extension including a unique frame identifier.</p><p>Use case: For testing purposes to be able to correlate the frames in the sender and receiver side.</p><p><br /></p><p>What do you think? Any other info or feedback about these or other header extensions? Feel free to share those here or <a href="https://www.twitter.com/anarchyco">in Twitter</a>.</p><p><br /></p>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com1tag:blogger.com,1999:blog-460321274846352896.post-49032381314003029522023-04-12T07:30:00.016-07:002023-04-12T07:34:49.835-07:00Existing WebRTC is not great for broadcasting use cases<p style="text-align: left;"><span style="font-size: medium;">WebRTC was originally designed for real-time communication with a small number of participants, where latency requirements are extremely strict (typically <250ms). However, it has also been utilized for broadcasting use cases, such as YouTube Studio or Cloudflare CDN, where protocols used in the past have been different, typically Adobe’s RTMP and protocols based on HTTP.</span></p><div><div><span style="font-size: medium;">WebRTC offers a new range of broadcasting use cases, particularly those requiring hyper-low latency, such as those with audience interactivity, for instance, user reactions or auction use cases. However, choosing WebRTC comes with tradeoffs, including increased complexity, scalability challenges, or lower quality. While it's possible to address the first two with enough time and effort, the primary concern should be how to obtain the best possible quality.</span></div></div><div><h2 style="text-align: left;"><span style="font-size: medium;">Why do we have lower quality when using WebRTC?</span></h2><div><span style="font-size: medium;">First of all, a clarification. In a perfect network with infinite bandwidth there is no much difference in quality but in other restricted or flaky networks these are some reasons why WebRTC provides lower quality than RTMP&HTTP based solutions:</span></div></div><div><div><ul style="text-align: left;"><li><span style="font-size: medium;">Smaller buffers: WebRTC implementations prioritize latency over quality by using small buffers, which can sometimes be too small to receive retransmissions in time. TCP-based protocols with large buffers prioritize quality over latency and do not face this issue.</span></li><li><span style="font-size: medium;">Aggressive congestion control: WebRTC employs aggressive congestion control that quickly reduces video transmission when congestion is detected to prevent increased latency and potential packet loss. This helps to have more predictive low latency but in many cases being less aggressive would maintain a higher quality at the expense of a higher latency.</span></li><li><span style="font-size: medium;">Only real time reliability: If you lose connectivity for some seconds WebRTC is not going to queue the media to deliver it whenever you recover. Same way it is not going to recover a previous frame after a newer one has been decoded. The most obvious impact on this is in case of server side recordings.</span></li><li><span style="font-size: medium;">Fast Encoding: WebRTC codecs configuration are optimized for speed and do not use two-pass encodings or bidirectional predicted frames, instead using conservative settings to ensure fast encoding. However, this means that the encoding efficiency is not as good as that of broadcasting applications, resulting in slightly worse encoding for a given bitrate.</span></li><li><span style="font-size: medium;">Unpredictable Bitrate: The fact that WebRTC cannot use 2 pass encoding makes the quality/bitrate decisions by the codecs less optimal and unstable.</span></li></ul></div></div><div><div><span style="font-size: medium;">To be honest some of these limitations can be solved if you control the WebRTC implementation (f.e. in a mobile or desktop native app) but that is not so easy or even possible nowadays for web applications where the WebRTC stack is embedded in the browsers.</span></div><h2 style="text-align: left;"><span style="font-size: medium;">What should we do for interactive broadcasting?</span></h2><div><span style="font-size: medium;">Ideally we need a protocol where we can configure the acceptable latency in a range from real time (<250 ms) to traditional broadcasting (5 - 10secs). Once that constraint is set the protocol needs to provide the best possible quality in those conditions. That is doable and we will probably see it in one or both of these ways:</span></div><div><ul style="text-align: left;"><li><span style="font-size: medium;">More tunneable WebRTC. With some more flexibility in WebRTC APIs it should be possible to overcome the limitations described in the previous section. For example things like configurable congestion control with settings like RTCPeerConnection.congestionControl = "low latency" or some lower level APIs in the new WebCodecs API.</span></li><li><span style="font-size: medium;">New protocols working over UDP and reusing some of the WebRTC techniques but providing more flexibility (f.e. new QUIC protocols like RUSH). Implementations using those protocols created from scratch can overcome most of those limitations because they leave part of the problem (buffering or encoding) to the application. Although they would also need the ability to control the congestion control behavior.</span></li></ul></div><h2 style="text-align: left;"><span style="font-size: medium;">So should I use WebRTC or not?</span></h2><div><span style="font-size: medium;">I would use it only when it is really required and provides enough business value to make it worth the additional complexity and potential quality degradation. For streaming a traditional soccer game it is probably not needed while for a stream with interactivity with the audience (f.e. reactions) it can provide real value and the quality loss can be worth the benefits in terms of engagement.</span></div><div><span style="font-size: medium;"><br /></span></div><div><span style="font-size: medium;">Also we need to keep in mind that we don't need to have an end to end WebRTC. For example in cases where there is a need for low latency only between speakers it could make sense to use WebRTC for ingestion but keep using HLS for playback. Or in some cases use RTMP for ingestion from broadcasters with good connectivity and RUSH for playback.</span></div></div><div><br /></div>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com0tag:blogger.com,1999:blog-460321274846352896.post-15753957958046696112023-02-18T09:37:00.019-08:002023-02-22T03:54:19.092-08:00Media Ingestion protocols Review<p>This post summaries the most relevant protocols using for media ingestion. In these media ingestion flows a client that is broadcasting some content sends it to an endpoint (typically a server) that will re-format it for distribution to a potentially large audience, using a different protocol optimised for media playback.</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfDxbGjKiL2tXkMxIhvGTnnTeR_479PuhNW1CLuMTKfpStihyvUVTcqIUunM-v-Z0vVTxojbs4PZsMR7fB9bB5BzsxK2QEOSMWKZS-AAdRcn1YI3fDSnHfZiWF-U4hMondXW6Nqd9eop-Geuw1oxRPaoJOwRYW-aIKtW7tUzAZXYmoVVYbuNiOMMR-/s2038/Screenshot%202023-02-18%20at%2010.42.54.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="362" data-original-width="2038" height="114" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfDxbGjKiL2tXkMxIhvGTnnTeR_479PuhNW1CLuMTKfpStihyvUVTcqIUunM-v-Z0vVTxojbs4PZsMR7fB9bB5BzsxK2QEOSMWKZS-AAdRcn1YI3fDSnHfZiWF-U4hMondXW6Nqd9eop-Geuw1oxRPaoJOwRYW-aIKtW7tUzAZXYmoVVYbuNiOMMR-/w640-h114/Screenshot%202023-02-18%20at%2010.42.54.png" width="640" /></a></div><p>The following sections show the main ideas behind each protocol as well as some of their advantages and disadvantages. The protocols are organised into three buckets (tradicional protocols, modern protocols and next generation protocols) that correspond to three waves of protocols with the first one based on TCP, the second one on UDP or HTTP and the third one with QUIC. You can see a summary of those characteristics as well as the timeline and adoption in the following diagram.</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjAvgy_1sLhGvEz3u27XlOoe4hAcJhLopcPbn8ypoCCL2dWXsS14qdPLMEjxtSIUgil0fqbXH4SHKdcrsMZTuMHwrPh5uO93vbe6QAPR-bdo45TO9LXKb3stp9WKOZKgSDty_yc8vcLRj4uRTmUWeoUXxoOx5E1kuc4oCLtMvek98o3p8GFp9HKzOO7/s557/Screenshot%202023-02-18%20at%2018.21.37.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="228" data-original-width="557" height="262" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjAvgy_1sLhGvEz3u27XlOoe4hAcJhLopcPbn8ypoCCL2dWXsS14qdPLMEjxtSIUgil0fqbXH4SHKdcrsMZTuMHwrPh5uO93vbe6QAPR-bdo45TO9LXKb3stp9WKOZKgSDty_yc8vcLRj4uRTmUWeoUXxoOx5E1kuc4oCLtMvek98o3p8GFp9HKzOO7/w640-h262/Screenshot%202023-02-18%20at%2018.21.37.png" width="640" /></a></div><h2 style="text-align: left;">Traditional protocols</h2><h3 style="text-align: left;">RTMP</h3><p><a href="https://rtmp.veriskope.com/docs/spec/">RTMP (Real-Time Messaging Protocol)</a> is the most widely used protocol for media ingestion nowadays. It was developed more than 20y ago and popularised by Adobe/Flash initially as a playback protocol. It is supported by the biggest Internet video platforms like Youtube, Facebook or Twitch.</p><p>The protocol transports media over TCP, includes an initial handshake and support for arbitrary content (metadata, RPC and media) using a proprietary binary format. The feedback mechanisms to control the media transmission is limited as well as the codecs supported. There are some variations of RTMP developed for proxy traversal or P2P but they are not that popular.</p><p>It is a protocol used for ingestion and not playback so in most of the cases it requieres other protocol and some repacketization for distribution (typically using HLS protocol).</p><h3 style="text-align: left;">RTSP</h3><p><a href="https://www.ietf.org/rfc/rfc2326.txt">RTSP (Real-Time Streaming Protocol)</a> is another protocol developed in the 90s but in this case it was fully standard from the beginning and reuses other internet standard protocols like RTP (Real-Time Protocol), RTCP (Real-Time Control Protocol) and SDP (Session Description Protocol). The main motivation was its standardisation and the lower latency compared with RTMP. It is not used that much today and mostly limited to specific use cases like IP cameras.<br /></p><p>It is a protocol that separates the control and the media plane. The establishment part of RTSP is similar to HTTP and uses SDP to describe the media content and the media part uses RTP over UDP. It could support most of the feedback and capabilities of RTP extensions but usually the implementations are limited to the basic RTP profile.</p><p></p><h2 style="text-align: left;">Modern protocols</h2><p></p><h3 style="text-align: left;">SRT</h3><p><a href="https://www.haivision.com/resources/white-paper/srt-protocol-technical-overview/?utm_campaign=SEO+Resources+SRT+Tech+Specs+PR">SRT (Secure Reliable Protocol)</a> is a protocol invented in 2012 and released in 2017 as a replacement for the tradicional protocols to be better suited for low latency transmission over noisy networks. It is used by many professional broadcasters and some internet services like Caffeine.tv.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjLon3sezGovLlS4Q72mf_KdiKHRMqcB2xbFUiu9ytC0w1Wz2niq0Ri1WshYt8PRm_EdKcLnSgvO0B9rU1wmHOsoBsW2t8VyeEEya8h0r1rsnUuLvGmjA2Vm9zkoMvxtTxSgoajFeb9FOikqIPWinmTS7fxRvfGnO4pulRfpEixvA3bzAPQHHBJ4viy" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="400" data-original-width="788" height="144" src="https://blogger.googleusercontent.com/img/a/AVvXsEjLon3sezGovLlS4Q72mf_KdiKHRMqcB2xbFUiu9ytC0w1Wz2niq0Ri1WshYt8PRm_EdKcLnSgvO0B9rU1wmHOsoBsW2t8VyeEEya8h0r1rsnUuLvGmjA2Vm9zkoMvxtTxSgoajFeb9FOikqIPWinmTS7fxRvfGnO4pulRfpEixvA3bzAPQHHBJ4viy=w285-h144" width="285" /></a><a href="https://www.haivision.com/blog/all/srt-everything-you-need-to-know-about-the-secure-reliable-transport-protocol/#:~:text=Products%20%26%20Solutions%20Inc.-,Who%20Uses%20SRT%3F,Microsoft%2C%20to%20name%20a%20few.">(source)</a></div><br /><p></p><p>The protocol makes use of UDP for the transmission of control and data packets and includes feedback for retransmissions under packet loss. The protocol syntax is based on a previously existing protocol for file transfer called ULP and has different modes to enable use cases from reliable file transfer to low latency streaming.</p><h3 style="text-align: left;">RIST</h3><p><a href="https://www.videoservicesforum.org/RIST.shtml">RIST (Reliable Internet Stream Transport)</a> is a protocol similar to SRT in terms of features and motivations. It was developed to increase the reliability against packet losses and the security included in SRT as well as to support higher bitrate streams.</p><p>This protocol is also transported over UDP although in this case it uses RTP instead of inventing a new protocol for that. It includes feedback for retransmissions under packet loss.</p><p>It is a slightly better protocol that reuses some existing protocols but so far it had lower adoption than SRT.</p><h3 style="text-align: left;">WebRTC</h3><p>WebRTC is a project that was designed for videoconferencing use cases but that has seen also some adoption for streaming applications. Its real time nature makes it suitable for use cases where ultra low latency is more important than getting the highest possible quality and also the native support in browsers makes it very simple to integrate for applications. Different streaming services use it in different degrees like for example Youtube Studio or StreamYard.</p><p>The protocol doesn't define the signalling/control plane and that's left to each application although recently a new specification (<a href="https://datatracker.ietf.org/doc/draft-ietf-wish-whip/">WHIP</a>) has defined a very simple HTTP signalling protocol for basic ingestion use cases. The protocol does define the media plane that is composed of different layers for connectivity (ICE protocol), encryption (DTLS&SRTP protocols) and media itself (RTP&RTP procols). That makes it a complex protocol even if it is mostly a composition of protocols existing for many years. It includes feedback mechanisms for retransmissions and bandwidth estimation as well as many other extensions for FEC or buffers control.</p><p>The WebRTC protocol stack can be used also for playback if needed although in many cases the applications still rely on traditional protocols for playback to prioritise reachability and quality over the lowest possible latency.</p><h3 style="text-align: left;">FLT</h3><p><a href="https://hayden.fyi/posts/2020-08-03-Faster-Than-Light-protocol-engineering-notes.html">FLT (Faster than Light Protocol)</a> is a protocol designed to provide a very low latency replacement for RTMP. The protocol was designed for Microsoft Mixer service and many applications and services implemented it although it is mostly unused with the shutdown of Mixer.</p><p>The protocol was making use of UDP and RTP to provide ultra low latency in a way similar to WebRTC but without the ICE and DTLS parts and it includes a control protocol over TCP to establish and negotiate the media connection.</p><h3 style="text-align: left;">HTTP ingestion (HLS, DASH...)</h3><p>HTTP ingestion consist on reusing the protocols that are mostly used for media delivery (HLS, DASH...) but can also be used for media ingestion. The most popular of these protocols is probably HLS (HTTP Live Streaming) and it is supported by Akamai or Youtube Live in addition to RTMP for ingestion.</p><p>These protocols use HTTP as transport to send the media segments encoding pieces of audio+video of a small number of seconds duration and also to send the playlists with the metadata and the references to those segments. They make use of the delivery and encryption mechanisms of HTTP and doesn't include any specific feedback mechanism to adapt the ingestion to the network conditions beyond controlling latencies and buffers.</p><h2 style="text-align: left;">Next generation protocols</h2><h3 style="text-align: left;">RUSH</h3><p><a href="https://www.ietf.org/archive/id/draft-kpugin-rush-00.html">RUSH (Reliable (unreliable) streaming protocol)</a> is a bidirectional media protocol designed by Facebook as a replacement for RTMP with the goal to provide support for new audio and video codecs, extensibility ini the form of new message types, and multi-track support. This protocol is only used by Facebook at this point both for ingestion and for media distribution inside their network.</p><p>The RUSH protocol is based on two core ideas:</p><p></p><ul style="text-align: left;"><li>Use QUIC as the transport protocol. The QUIC protocol, built on UDP, serves as the foundation for HTTP/3 and offers robust security measures in addition to affording granular control over packet priorities and reliability.</li><li>Use a different QUIC stream for each video frame so that they can be prioritized independently in case of congestion based on the latency and the importance of each frame. </li></ul><p></p><p>The specification includes a control protocol and the media protocol both running on top of a single QUIC connection. The messages have a binary encoding and include fields similar to the ones in RTP.</p><h3 style="text-align: left;">WARP</h3><p><a href="https://www.ietf.org/id/draft-lcurley-warp-03.html">WARP (Live media transport over QUIC)</a> protocol is also a bidirectional protocol but in this case designed by Twitch as a replacement for RTMP for the ingestion but also for existing playback protocols like HLS. Twitch is already using it for the distribution of media chunks in their backbone network.</p><p>The ideas behind this protocol are similar to the ones in RUSH with a configurable latency vs quality trade-off. The main difference is that the unit of transmission is not a frame but a segment. A segment is a group of encoded frames packages in a MP4 container. Another difference is that WARP is defined on top of WebTransport instead of just QUIC (WebTransport is a thin layer over QUIC intended for web browsers support)</p><p>The specification includes a control protocol and the media protocol both running on top of a single QUIC connection. All the messages (control and media) includes a type-length encoded binary header that should allow any intermediaries in the distribution pipeline to prioritise and filter messages based on their content. </p><p>The protocol can also be used for playback and the use of segments makes it very simple to do the conversion to other segment-based protocol like HLS if needed.</p><h3 style="text-align: left;">Conclussions</h3><p>After many years where most of the ingestion has been happening with RTMP there is finally some alternatives getting enough traction. WebRTC and SRT where the first ones and have already been adopted for many use cases while the new protocols designed over QUIC (RUSH, WARP or QUICR) are likely to be widely deployed in the next years.</p><p>The use of one protocol over the others depends mostly on two factors:</p><p></p><ul style="text-align: left;"><li>Support and interoperability. The most widely supported protocol is still RTMP and some streaming equipment only support that protocol or the newer SRT/RIST protocols. However, if we ignore the new QUIC protocols, most of these protocols are already supported in the widely used opensource OBS streaming client.</li><li>Latency vs quality trade-off. Depending on the use case it is possible to select a protocol that is better suited for ultra low latency (like WebRTC) or when that is not strictly required other protocol can be selected that can provide the highest possible quality (like HLS).</li></ul><p></p><p>As a final note this is the result of the <a href="https://www.wowza.com/blog/rtmp-streaming-real-time-messaging-protocol">wowza report</a> on protocols being used by for ingestion:</p><p></p><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgUkaoX0yOrQNvs740b_HUjc6sZVvX1aB8Q73EcCdhyKVnha970XU8Kef3Lq0VYcdgB40VZq8QPC1uB0Ey95_zRJ5YtxC0jKT6am72BUGbZA_sQqbIguEzJkecqnyKMjTPrJE-ldnU9baIY4vS538E9et_W-_dXraSRhIpfMBX8RVV5zR10Ir1ywGpx" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="475" data-original-width="721" height="264" src="https://blogger.googleusercontent.com/img/a/AVvXsEgUkaoX0yOrQNvs740b_HUjc6sZVvX1aB8Q73EcCdhyKVnha970XU8Kef3Lq0VYcdgB40VZq8QPC1uB0Ey95_zRJ5YtxC0jKT6am72BUGbZA_sQqbIguEzJkecqnyKMjTPrJE-ldnU9baIY4vS538E9et_W-_dXraSRhIpfMBX8RVV5zR10Ir1ywGpx=w400-h264" width="400" /></a></div></div><p><br /></p><p><br /></p><p><br /></p>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com0tag:blogger.com,1999:blog-460321274846352896.post-48429646104599008562022-10-04T11:05:00.004-07:002022-10-05T06:49:27.823-07:00Different types of latency measurements in WebRTC <p>When building WebRTC services one of the most important metrics to measure the user experience is the latency of the communications. The latency is important because it has an impact on the conversational interactivity but also on video quality when using retransmissions (that is the most common case) because the effectiveness of retransmissions depend on how fast you get them.</p><p>And to be fair at the end of the day latency is what differentiates Real Time Communications from other types of communications and protocols like the ones used for streaming use cases that are less sensitive to delays, so it is clear that latency is an important metric to track.</p><p>However there is no single measurement of latency and different platforms, APIs and people usually measure different types of latency. From what I've seen in the past we can see differences in these four axis described below.</p><p></p><h2 style="text-align: left;">One Hop latency vs End to End latency</h2><p></p><p>When there are multiple servers involved in a conversation the native WebRTC stats only provides information about the latency in the first hop (from the client to the server). That doesn't give you the full picture and usually what you prefer is to measure the end to end delay including the latency from the first client to the first server, then from each server to the next one and finally from the last server to the other client.</p><p>This can be seen in this great diagram from webrtchacks.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhWdJoNnQqnDZPj0pPT9A8jSIZkQNvaqyf24xwVzCkp_P4Wd2YrFDrXWkX9ek3nQjcNht1l4-YAQXwrVHWmdsmc2FIZwPcIveAHqMS2TmfJdZui2gXgGYNZhmBwz854BFuMyIpbjgzED-uEtc5Fa6DqC70ZqI2MX_x_dr7eoAQhuPcHZvTVr0AKYZ3Q" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="177" data-original-width="960" height="118" src="https://blogger.googleusercontent.com/img/a/AVvXsEhWdJoNnQqnDZPj0pPT9A8jSIZkQNvaqyf24xwVzCkp_P4Wd2YrFDrXWkX9ek3nQjcNht1l4-YAQXwrVHWmdsmc2FIZwPcIveAHqMS2TmfJdZui2gXgGYNZhmBwz854BFuMyIpbjgzED-uEtc5Fa6DqC70ZqI2MX_x_dr7eoAQhuPcHZvTVr0AKYZ3Q=w640-h118" width="640" /></a></div><br />Mesuring the End-to-End latency is much harder as it is not provided automatically by WebRTC stacks and requires some additional ping-pong messages to be sent (f.e. using datachannels) or a mechanism relaying in synchronized clocks that it is not very practical.<div><br /><div>One alternative way to measure it is to measure the latency of each hop and then aggregate the averages per source and destination regions. This doesn't give you the same thing but it can be an approximation and good enough to detect issues in specific regions.<br /><p></p><h2 style="text-align: left;">Real Users latency vs Synthetic Traffic latency</h2><p>Some people use synthetic tests to measure the latency provided by their platform. That's great for alerting purposes but doesn't give you the full picture of how users are experiencing your service. For example maybe there is one specific region from where users are experiencing high latencies but you don't have your test clients probing your platform from that very specific region.</p><p>When measuring latency for real users you typically have to use the WebRTC getStats API or some datachannels ping-pong messaging but when using synthetic traffic you have more freedom to use special custom RTP packets or a video source with a timestamp watermark.</p><h2 style="text-align: left;">Network latency or Capture-to-Render latency</h2><p>When measuring the latency typically you measure the delay of the packets in the network but that's not the whole latency that a user will experience for his voice and video. Apart from that network latency there are also delays introduced by the software doing the capture and rendering. This is specially relevant in case of the buffers used in the receiver side to mitigate network issues like jitter, packet loss or packet reordering.</p><p>To measure the whole latency including the delays introduced in the capturing and rendering sides you can include in your calculations some additional metrics provided by the WebRTC getStats API like the <a href="https://www.w3.org/TR/webrtc-stats/#dom-rtcmediastreamtrackstats-jitterbufferdelay">jitterBufferDelay</a>, <a href="https://www.w3.org/TR/webrtc-stats/#dom-rtcaudioplayoutstats-totalplayoutdelay">playoutDelay</a>, <a href="https://www.w3.org/TR/webrtc-stats/#dom-rtcoutboundrtpstreamstats-totalpacketsenddelay">packetSendDelay</a>...</p><p></p><h2 style="text-align: left;">Round Trip Time or One Way delay</h2>Another small difference is if the latency is measured as round trip time latency (the sum of both directions A->B + B->A) or just one of the ways independently. In most of the cases what is measured is the round trip time and then just divided by two as a good estimation of the one way delay.<h2 style="text-align: left;">Conclussions</h2><p>As a summary, next time you provide numbers on the latency of your WebRTC solution please explain what type of latency you are measuring and how are you measuring to make it more clear 🙏. </p><p>If you can you should probably try to measure the end-to-end delay but even the hop-by-hop latency is very relevant for monitoring and troubleshooting. If you have enough traffic it is possible that real users latency is what you want to measure, but if you don't have enough users or you want to have some more data then using synthetic tests to estimate the latencies is also a good approach.</p></div></div>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com0tag:blogger.com,1999:blog-460321274846352896.post-74274715158596967722022-08-15T02:57:00.004-07:002022-08-16T04:56:51.663-07:00Screensharing content detection<p><br />One interesting feature in WebRTC is the ability to configure a content hint for the media tracks so that WebRTC can optimize the transmission for that specific type of content. That way if the content hint is "text" it will try to optimize the transmission for readability and if the content hint is "motion" it will try to optimize the transmission for fluidity even if that means reducing the resolution or the definition of the video.</p><p>This is specially useful when sharing documents or slides where the "crispiness" of the text is very important for the user experience. You can see the impact of those hints in the video encoding in this screenshot taken from the W3C spec:</p><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnaI2mQZOo9C-jwarYA9hlVnm183Qqahpte3IUcT1HBDqDUuA89lKty1Y1p_thqWkXMq2paEhNH8eOdyNDgJWEhKh2pur-KaFdJDatBjywQ4-UJVcvr8Om8QyXM1b6QUlywUJNXJeOq-lNGZCtCqHFzjvD7UGtfPD7Q04BzRduDZn3g74dTiu--Th2/s672/lorem-ipsum.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="100" data-original-width="672" height="96" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnaI2mQZOo9C-jwarYA9hlVnm183Qqahpte3IUcT1HBDqDUuA89lKty1Y1p_thqWkXMq2paEhNH8eOdyNDgJWEhKh2pur-KaFdJDatBjywQ4-UJVcvr8Om8QyXM1b6QUlywUJNXJeOq-lNGZCtCqHFzjvD7UGtfPD7Q04BzRduDZn3g74dTiu--Th2/w640-h96/lorem-ipsum.png" width="640" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;">This is very useful but there is a small problem. What happens when we don't know the type of content being shared? How do we know if the browser tab being shared has some static text slides or a youtube video being played?</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">One possible option could be to do some type of image processing to detect the type of content in the video frames and check for text content. That's possible doable and not that expensive if run only once every few seconds. But right now I was more interested on using existing WebRTC statistics as a proxy to detect the type of content so I tried a couple of approaches along those lines.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">The other motivation to do this kind of detection could be for analytics purposes to understand better how users are interacting with the product and make further changes in the application to optimize it for those use cases.</div></div><p></p><h2 style="text-align: left;">Simplest approach</h2><p></p><p>The idea is that when you are sending static content (slides) WebRTC notices that the frame didn't change from the previous one and skips sending a new one so it ends up sending ~1 frame per second only.<br /><br />With this approach just checking the framerate sent using the getStats() API we could have a high level of confidence on the content is static. For example, we could use a threshold of 2-3 fps to differentiate static and dynamic content.</p><p><b>Special cases:</b></p><p></p><ul style="text-align: left;"><li>You are sending a low framerate because the available bandwidth is too low and not because the content is static. I don't think libwebrtc will send such a low framerate in that case but anyway we can differentiate this case by checking the "availableOutgoingBitrate" and/or "qualityLimitationReason" the WebRTC stats.</li><li>When you move the cursor over the slides, or your slides have a small animated logo in one corner or you are sharing a text editor but you have a small blinking cursor. In those cases this approach won't work because the framerate sent will be high.</li></ul><p></p><h2 style="text-align: left;">Elaborated approach</h2><p>The idea is that when you are sending static images you can send a higher quality with less number of bits because the image doesn't change from one frame to the next one so it needs fewer pixels to be encoded.</p><p>We can use the framerate, qp (quantization parameter), and resolution statistics from WebRTC and calculate a number that intuitively shows Quality / BitsUsedPerPixel. </p><p>You can see the implementation in this jsfiddle: https://jsfiddle.net/zb8w4nd5/3/</p><p><br /></p><p>I tested both approaches using a document with two slides, one static with text and one image and one with a youtube video embedded. The results are shown in the next graph.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6xyY3ZvDzkvMz1JckTeU76Rz8qNQRD1Wu69hC9rnkW_GBuN4ge_qTBJf-qWkeDLyiAvzAQNq3ppwgBJQnBcZvFz8LbLe9YmwmBC4kD56cooceyM76vJmI1jW4BZf0Cg0mJrnAUP_Cv27-NQ4FIp-HO31MSRCKtUkJIrhl7lu9l_9ZzUg53yMllABi/s1648/Screenshot%202022-08-13%20at%2012.53.01.png" style="margin-left: 1em; margin-right: 1em;"></a><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6xyY3ZvDzkvMz1JckTeU76Rz8qNQRD1Wu69hC9rnkW_GBuN4ge_qTBJf-qWkeDLyiAvzAQNq3ppwgBJQnBcZvFz8LbLe9YmwmBC4kD56cooceyM76vJmI1jW4BZf0Cg0mJrnAUP_Cv27-NQ4FIp-HO31MSRCKtUkJIrhl7lu9l_9ZzUg53yMllABi/s1648/Screenshot%202022-08-13%20at%2012.53.01.png" style="margin-left: 1em; margin-right: 1em;"></a><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiahSkJfGDn3iXb9BYTZNsLJzTV4kcQJ85BqF5nGE7wm3X9bFoBrPLoa6BSzWVLNTVXhGJu4JW3MOb0xSYIJsFz2WVCUtoNVmNzXtp70Brr9UaoyKr6LhUbOsZ-YXJQABw5OC1_NheB-XKGCy-4QMzJObqeNGAQ243EUzlfhEOQ12P31N6M0CuHkNr0" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="776" data-original-width="1602" height="310" src="https://blogger.googleusercontent.com/img/a/AVvXsEiahSkJfGDn3iXb9BYTZNsLJzTV4kcQJ85BqF5nGE7wm3X9bFoBrPLoa6BSzWVLNTVXhGJu4JW3MOb0xSYIJsFz2WVCUtoNVmNzXtp70Brr9UaoyKr6LhUbOsZ-YXJQABw5OC1_NheB-XKGCy-4QMzJObqeNGAQ243EUzlfhEOQ12P31N6M0CuHkNr0=w640-h310" width="640" /></a></div><br /></div><p>One thing we can see in the graph is that the framerate is a good proxy apart from when there is some "artificial" movement like the mouse cursor. In that sense, the Quality factor looks like an approach with fewer issues.</p>As you can see in the graph after switching from the video slide to the text slide again it took a bit to recover in terms of quality. Combining both approaches and using the framerate in that case could make the detection faster.<p></p><p><br />Additional considerations:</p><p></p><ul style="text-align: left;"><li>Probably is a good idea to ignore the first few seconds as it can take a bit to stabilize.</li><li>Add some hysteresis or window average to avoid detecting when switching slides or scrolling in a text document.</li><li>The Quality factor is assuming everything is linear and maybe other approaches (logarithmic, quadratic...) could have more accurate results.</li><li>I haven't used this in a real product yet, so take it just as a list of ideas to explore and not a finished reliable algorithm.</li></ul><p></p><p><br /><br /></p>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com4tag:blogger.com,1999:blog-460321274846352896.post-78166760674100239962022-06-05T02:47:00.012-07:002022-06-07T11:28:01.722-07:00New look at WebRTC usage in Google Meet<div style="clear: both; text-align: center;"><div style="text-align: left;"><span id="docs-internal-guid-1f779edf-7fff-ad0d-8c59-d6b6e1d26823"><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">I hadn't looked at Google Meet webrtc internals for a while so while I was having a meeting last week I decided that it was a good time to check what were the latest changes that had been added.</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><b id="docs-internal-guid-f716ff55-7fff-811b-1426-2a3a9e37bd96" style="font-weight: normal;"><br /></b></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 18pt; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">P2P Connections</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><b style="font-weight: normal;"><br /></b></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">One of the first things that I checked was if Google Meet was using P2P connections when there are only two participants in the room and I was surprised that it was not the case. P2P support was included in the past (</span><a href="https://www.blogger.com/blog/post/edit/460321274846352896/7816676067410023996#" style="text-decoration: none;"><span style="-webkit-text-decoration-skip: none; background-color: transparent; color: #1155cc; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration-skip-ink: none; text-decoration: underline; vertical-align: baseline;">P2P-SFU transitions discussion</span></a><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">) but apparently has been removed.</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><b style="font-weight: normal;"><br /></b></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">This increase the infrastructure cost (not an issue for Google) and increase a bit the end to end latency for the 1:1 calls but given that Google Meet is probably deployed in many points of presence that's probably not a big increase and the simplicity of not having to handle another type of connections and the transition between them (P2P <-> SFU) is a big benefit so it looks reasonable.</span></p><h2 dir="ltr" style="line-height: 1.38; margin-bottom: 4pt; margin-top: 18pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 17pt; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">ICE candidates and (NO) TURN servers</span></h2><p dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 12pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Google Meet is not configuring any ICE servers anymore and their servers are providing candidates for both IPv4 and IPv6 and types: UDP (random port) + TCP (same random port as UDP) + UDP (3478 port) + SSLTCP (443 port).</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 12pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">This is the iceServers configuration that is empty as you can see:</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: center;"><span style="background-color: transparent; color: black; font-family: 'Courier New'; font-size: medium; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;">https://meet.google.com/_meet/xxx-xxx-xxx, { iceServers: [], iceTransportPolicy: all, bundlePolicy: max-bundle, rtcpMuxPolicy: require, iceCandidatePoolSize: 0, sdpSemantics: "unified-plan", extmapAllowMixed: true }, {advanced: [{googScreencastMinBitrate: {exact: 100}}]}</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><b style="font-weight: normal;"><br /></b></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The fact that it doesn't use any TURN servers shouldn't be a huge issue given that the servers have support for SSLTCP and was seen also also in other apps in the past like Jitsi or Houseparty. The main implications could be the lack of support in other browsers like firefox and some very strict proxies/firewalls blocking the pseudo-SSL connection used by SSLTCP.</span></p><h2 dir="ltr" style="line-height: 1.38; margin-bottom: 4pt; margin-top: 18pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 17pt; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">New RTP header extensions</span></h2><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Google Meet has always used many header extensions and this time and saw two that I hadn't seen in the past.</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><b style="font-weight: normal;"><br /></b></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">One header extension is related to the new AV1 video codec and used to provide scalability information that the server can use for selective filtering and forwarding of video layers. It is interesting because AV1 is not used by Google Meet but maybe this is an indication of some work in progress or the support of the new codec in internal versions of the product. </span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 12pt;"><span style="background-color: white; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;"><span style="color: #a31515; font-family: "Courier New"; font-size: medium;">a=extmap:15 https://aomediacodec.github.io/av1-rtp-spec/#dependency-descriptor-rtp-header-extension</span><br /><span style="font-family: inherit;"><br />(@murillo&@HCornflower mentioned in Twitter that even if this header extension was defined for AV1 it can also be used also for VP9 and that is apparently the case based on a quick test with a sniffer)</span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The other header extension provides information about target bitrates, resolutions and framerates of the layers so that the server can use that information to decide which layer to forward instead of making those decissions based on the bitrate received like all the SFUs do today. The advantage is that this value is more stable and reliable than the calculated one that can have temporal spikes depending on. the network and pacing implementation and even the content being sent.</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 12pt;"><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-size: medium; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline;">a=extmap:12 http://www.webrtc.org/experiments/rtp-hdrext/video-layers-allocation00</span></p><h2 dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 6pt 0pt 4pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 18pt; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Special RTP Control Messages (RTCP)</span></h2><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 8pt 0pt 12pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">There were a couple of RTCP features in the SDP negotiation that got my attention.</span></p><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The first one is a new RTCP message called RRTR. Well, it is not really new as it was standardized a long time ago (</span><a href="https://www.blogger.com/blog/post/edit/460321274846352896/7816676067410023996#" style="text-decoration: none;"><span style="-webkit-text-decoration-skip: none; background-color: transparent; color: #1155cc; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration-skip-ink: none; text-decoration: underline; vertical-align: baseline;">RFC3611</span></a><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">) but I haven't seen it used till now. The purpose of the RRTR message and the corresponding to DLRR is to be able to calculate the round trip time for receiving streams in a similar way to how it is calculated for sending streams with SR and RR messages. Basically RRTR sends a timestamp and DLRR sends back the original timestamp plus the delay between RRTR and DLRR messages.</span></p><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><br /></span></p><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: #a31515; font-family: 'Courier New'; font-size: medium; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">a=rtcp-fb:96 rrtr</span></p><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 9pt 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 12pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The other interesting thing is that Google Meet enables transport-cc RTCP messages to use audio packets also for bandwidth estimation and not only video packets like most of the platforms do. This was problematic in the past but apparently it is safe enough now and in that case it looks like a very good idea to have it enabled.</span></p><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 3pt 0pt 12pt;"><span style="font-size: medium;"><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">a=rtpmap:111 opus/48000/2</span><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><br /></span><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">a=rtcp-fb:111 transport-cc</span></span></p><h2 dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 6pt 0pt 4pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 18pt; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Video Encoding</span></h2><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 8pt 0pt 12pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 12pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Google Meet uses VP9 with profile 0 although for some reason it falls back to VP8 whenever a Firefox browser joins the room. One interesting thing about the video encoding is the attribute "useadaptativelayering" included in the SDP negotiation. The attribute has been there for a while and there are two versions of it but there is nothing about it in the opensource version of Chromium/WebRTC and neither in the Chrome binary </span><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">🤔</span><span style="background-color: transparent; color: black; font-family: Arial; font-size: 12pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">, so I would assume that is something only used in an old or custom version of libwebrc (mobile?).</span></p><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-size: medium; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">a=fmtp:96 useadaptivelayering_v2=true; useadaptivelayering=true</span></p><h2 dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 18pt 0pt 4pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 18pt; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Audio Encoding</span></h2><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 8pt 0pt 12pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 12pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Google Meet is using opus as expected (with dtx and inbandfec enabled) but the most interesting part is that the usage of redundancy encoding (red) is also negotiated for the audio channels. This encoding allows sending multiple copies of the same packet when needed, to provide better robustness against packet loss (<a href="https://webrtchacks.com/red-improving-audio-quality-with-redundancy/">detailed analysis of RED in WebRTCHacks</a>).</span></p><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 8pt 0pt 12pt;"><span style="background-color: transparent; font-family: Arial; font-size: 12pt;">But even if it is negotiated it is not really active for sending because it is included in the codecs list after opus. I also tested it introducing a 15% packet loss and checking the packets sent and received with a sniffer.</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-size: medium; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">a=rtpmap:111 opus/48000/2</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-size: medium;"><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">a=fmtp:111 minptime=10; useinbandfec=1; stereo=0; sprop-stereo=0; usedtx=1</span><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><br /></span><span style="background-color: transparent; color: #990000; font-family: 'Courier New'; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">a=rtpmap:63 red/48000/2</span></span></p><h2 dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; padding: 18pt 0pt 4pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 18pt; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Media Acquisition</span></h2><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The last thing I took a look at is at the configuration requested from the microphone and camera. The most interesting thing I found was the fact that the framerate is limited to 24fps explicitly when the default is usually 30fps.</span></p><p dir="ltr" style="background-color: white; line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt;"> </p><p dir="ltr" style="line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt; text-align: center;"><span style="font-size: medium;"><span style="background-color: transparent; color: black; font-family: 'Courier New'; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Video constraints: {deviceId: {exact: ["xxxxxxxxx"]}, advanced: [{frameRate: {min: 24}}, {height: {min: 720}}, {width: {min: 1280}}, {frameRate: {max: 24}}, {width: {max: 1280}}, {height: {max: 720}}, {aspectRatio: {exact: 1.77778}}]}</span><span style="background-color: white; color: black; font-family: 'Courier New'; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> </span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><b style="font-weight: normal;"><br /><br /><br /></b></p><p dir="ltr" style="line-height: 1.47273; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: white; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">There are other things that can be interesting from Google Meet like the usage of a single peer connection (apart from the extra one for the screen sharing), the creation of offers always from the browser side, the multiplexing of audio over 3 transceivers or the codec selection (VP9) but those has been like that for a while and there are other places where they have been discussed.</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><b style="font-weight: normal;"><br /></b></p><p dir="ltr" style="line-height: 1.47273; margin-bottom: 12pt; margin-top: 12pt;"><span style="background-color: white; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">What do you think? Any other interesting features that you found in Google Meet? Feel free to share those here or </span><a href="https://www.blogger.com/blog/post/edit/460321274846352896/7816676067410023996#" style="text-decoration: none;"><span style="-webkit-text-decoration-skip: none; background-color: white; color: #1155cc; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration-skip-ink: none; text-decoration: underline; vertical-align: baseline;">in Twitter</span></a><span style="background-color: white; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">.</span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><br /><br /></p></span></div></div>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com4tag:blogger.com,1999:blog-460321274846352896.post-61240082249777208522022-01-30T07:48:00.004-08:002022-01-31T01:49:42.094-08:00Handling back-pressure in RTC services<p style="background-color: white; box-sizing: border-box; color: rgba(0, 0, 0, 0.7); font-family: proximanova, -apple-system, "system-ui", "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; font-size: 1rem; line-height: 1.6; margin-bottom: 1rem; margin-top: 0px;"></p><div class="separator" style="clear: both; text-align: center;"><br /></div><p></p><div><div>In the context of software, back-pressure refers to actions taken by systems to “push back” downstream forces. As such, it is a defensive action taken unilaterally while under duress or if the aggregate call pattern exhibits too many spikes, or is too bursty.</div><div><br /></div><div>This approach is commonly used in microservices infrastructures but we don't talk too much about it in the context of Real-Time Communication platforms even if they can be equally important to handle spikes of load while keeping the quality of service inside some reasonable limits. During times of spikes or burstiness, the quality could be slightly degraded but it should still be usable and the servers should never go down.</div><div><br /></div><div>The typical techniques to apply back-pressure and get some protection against those unsustainable patterns of traffic <br />are buffering, dropping, and controlling the sender:</div><div><ul style="text-align: left;"><li><b>Buffering</b>: Messages can be queued and processed at a lower rate when needed to limit the impact of spikes or high load.</li><li><b>Dropping</b>: Messages or even connections can be dropped when it is not possible to process them fast enough. This can be problematic in case there are retries from the clients as it could create a multiplicative effect making the problem even worse, so it has to be applied carefully.</li><li><b>Controlling the sender</b>: The receiver can provide some feedback to the sender to limit the amount of traffic that it is sending to temporarily reduce the impact on the service quality.</li></ul></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjgeMslBpm2Tn1v9sPbG-rYCv7mSZZWbAbuE0Q0Be4HsDYITTZXHdorNAV3mkqgb3rncLwfAIgCCShkJhz3CQ3wIi8F8PCsHvMd-v-hyYisENjCVtNSK8x1zzjZlAUrtlHurJpi7rNzYYlOmgz75Jf9cjnwRxeLYGRFJcwpITqYCDWT79jCGaa6cxn2" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="304" data-original-width="640" height="304" src="https://blogger.googleusercontent.com/img/a/AVvXsEjgeMslBpm2Tn1v9sPbG-rYCv7mSZZWbAbuE0Q0Be4HsDYITTZXHdorNAV3mkqgb3rncLwfAIgCCShkJhz3CQ3wIi8F8PCsHvMd-v-hyYisENjCVtNSK8x1zzjZlAUrtlHurJpi7rNzYYlOmgz75Jf9cjnwRxeLYGRFJcwpITqYCDWT79jCGaa6cxn2=w640-h304" width="640" /></a></div>The next two sections present some ideas and implications of those techniques applied to the two planes that usually compose the RTC platforms (the signaling plane and the media plane).</div><br /></div><h2 style="text-align: left;">Signaling Plane</h2><p>Typically we use a websocket connection to send and receive messages related to session establishment and often also some type of presence and messaging. Given that it is a persistent TCP connection we already get some <b>buffering</b> for free as part of the operating system implementation that can handle some spikes in traffic. In addition to that buffering it is convenient to have a more strict buffering at connection and at room/session level to avoid a single room overloading the whole server in case of an unexpected surge in traffic in that room.</p><p><b>Dropping</b> messages is not very common for the signaling plane and usually it is not an option given that we don't want to lose critical messages. But in some specific cases, it could be an option and reasonable like for example in the case of telemetry messages or sending cursor positions in a screen-sharing application.</p><p><b>Controlling the sender </b>could be done explicitly (sending a feedback message to the client to suggest the client send fewer messages by adding some batching or reducing the number of videos for example) or can be done implicitly by reading slower from the buffer so that the corresponding buffer in the client-side fills up too.</p><h2 style="text-align: left;">Media Plane</h2><p>When running media servers you get some <b>buffering</b> by default as part of the OS sockets implementation. The size of those buffers is something that you usually want to tune and gives you some flexibility to deal with spikes trading off delay for packet loss. For traditional use cases you probably don't want to increase it much but for high bitrate use cases where a keyframe can be really big (f.e. Stadia-like use cases) it is likely that you need to do increase those buffers. Those buffers are the first protection against small spikes but shouldn't be abused because they also increase the latency and jitter of media packets.</p><p><b>Dropping</b> messages could be an option, but usually doesn't save that many resources once you have already read them also because that would trigger retransmissions (at least in case of video). So instead of dropping packets it is a better idea to disable the forwarding of specific video layers to reduce the amount of packets or in case of audio to enable dynamically dtx (discontinuous transmission) or to increase the packetization time.</p><p><b>Controlling the sender</b> is probably the most common technique for the media plan. The sender can be controlled explicitly by configuring a lower sending bitrate when needed (for example using RTCP REMB messages) or can be done implicitly. In the later case, when the media servers start to get overloaded the the processing time of packets is less predictable and that introduces some jitter that as a consequence reduces the bandwidth estimation because jitter is a signal of congestion. This behaviour is something that happens automatically in most of the existing RTC solutions that include a bandwidth estimation algorithm based variability of packets delay like is <a href="http://www.rtcbits.com/2017/01/bandwidth-estimation-in-webrtc-and-new.html">the case of WebRTC</a>.</p><p><br /></p><p>Those were some of the techniques used in signaling and media servers that I'm aware of. What do you think? Any other ideas do you apply today to your platform? Feel free to share those here or <a href="https://www.twitter.com/anarchyco">in Twitter</a>.</p><p><br /></p>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com3tag:blogger.com,1999:blog-460321274846352896.post-18605824952263418282021-09-13T06:15:00.008-07:002021-09-14T07:05:55.298-07:00The role of Real Time Communications in the Multiverse<div class="separator"><p style="margin-left: 1em; margin-right: 1em;"><span 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data-lucid-type="application/vnd.lucid.chart.objects"> </span></p></div><p>Recently many companies have been talking about something that they usually call <i><b>the metaverse</b></i>. There is no single clear definition of what the metaverse is but something like this sounds close enough: "A highly connected environment with lots of interactive players and complex simulation creating rich experiences, something more than a game but less than the real world" (<span face=""GamesIndustry Sans", sans-serif" style="background-color: #fffff5; text-align: center;"><a href="https://www.gamesindustry.biz/articles/2021-08-20-what-is-the-metaverse-and-why-is-it-worth-so-much-money" target="_blank">What is the metaverse, and why is it worth so much money?</a></span>)</p><p></p><div class="separator" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRjKq6OJ12RoQNJ2Vt_PrNCRZkHGY9CV8eqHk5gR6XfE683le_bMI5qobDa-986dYS38UWlaOcJt94vtpnJzhrLXbMHvCZgIyyGJSwK0Su5hkfRhplSe0unHNqeif94bQ4UxkPKNoXZNE/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="900" data-original-width="1600" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRjKq6OJ12RoQNJ2Vt_PrNCRZkHGY9CV8eqHk5gR6XfE683le_bMI5qobDa-986dYS38UWlaOcJt94vtpnJzhrLXbMHvCZgIyyGJSwK0Su5hkfRhplSe0unHNqeif94bQ4UxkPKNoXZNE/" width="320" /></a></div>For me, the easiest way to understand it is to think about something similar to the world shown in the Ready Player One movie where users can interact with each other in a digital environment making use of virtual reality devices and sensors.<br /><p></p><p>Perhaps the biggest company speaking publicly about the metaverse is Facebook and is betting hard on it saying that they want to move from being a <a href="https://www.businessinsider.com/zuckerberg-said-facebook-will-eventually-become-a-metaverse-company-2021-7?r=US&IR=T" target="_blank">"social company to a metaverse company"</a> but there are also many gaming companies working on that direction or at least talking about it. In this <a href="https://medium.com/building-the-metaverse/market-map-of-the-metaverse-8ae0cde89696" target="_blank">blog post</a> we can find a nice representation of the market around this trend.</p><p>With that context in mind, I started to wonder what is the role of Real-Time Communications (RTC) in this ecosystem or more precisely what are the differences or customizations that we could need to do to our existing RTC solutions to provide the features and quality needed for this futuristic metaverse vision. </p><p>To try to frame the problem I started to think about this quadrant with two types of communications (those face to face and those with remote people) and two types of worlds where they can happen (the real and the virtual worlds). Given this classification, the ones that are more interesting or at least specific of the metaverse are the face-to-face communications in the virtual world.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4NUYxLf3bfWw__2Nj1R6NieeE_h1kVgrR8lJvX_uJh8aLSXdpMu5gUTYLM2bRKkXuOvwajqGNuV_ov0ffj7ovvG_6a4XsJPdbiqMJHtvzNO8YFvf69Q2hlBJNymZf6OTFhL45MKKCBRM/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="902" data-original-width="1511" height="191" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4NUYxLf3bfWw__2Nj1R6NieeE_h1kVgrR8lJvX_uJh8aLSXdpMu5gUTYLM2bRKkXuOvwajqGNuV_ov0ffj7ovvG_6a4XsJPdbiqMJHtvzNO8YFvf69Q2hlBJNymZf6OTFhL45MKKCBRM/" width="320" /></a></div><p></p><h2 style="text-align: left;"><b>High-quality spatial audio</b></h2><p>One obvious requirement will be the use of high-quality and spatial audio. To have an immersive experience in the metaverse the audio quality has to be crystal clear and the voice of the people needs to be heard coming from the place where they are supposed to be in the virtual space and with the volume corresponding to the attenuation due to the distance between user avatars in the virtual world.</p><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0iZpGrzei8WD3f8FkGNDELrUPAr7XUCw5OxszmFSuiU6ez1SV82xuv1nrV-iCZFD3DMwakfgXVTratjFQ1p8xKk6CK3BBhAvqcRZR_bfP1PaoyMAlvPO18P0EBGqJQwwPvtV2ATTyqJE/" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img alt="" data-original-height="562" data-original-width="1000" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0iZpGrzei8WD3f8FkGNDELrUPAr7XUCw5OxszmFSuiU6ez1SV82xuv1nrV-iCZFD3DMwakfgXVTratjFQ1p8xKk6CK3BBhAvqcRZR_bfP1PaoyMAlvPO18P0EBGqJQwwPvtV2ATTyqJE/" width="320" /></a></div>All the technology needed for this is already in place<br /> and there are many applications already doing something similar as you can see from simple apps like <a href="https://heyhubbub.com/">hubbub</a> to fancy products like Google <a href="https://www.engadget.com/google-project-starline-191228699.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAJtYprLiwTZkKdUD3sWB4AzYQ9AbE7HTFZ9Keu5jsehBmC1SLFpnum40D_ROKiy0aLQ8OAuARk75AuVP4l4kMh_f3psJxjv2n8pVfhuhYzjVw3wicw0CMnp6w-PM30mzmB8vIxruIArVWIJK6JmsOOoXVDvBsox7-ilweqiU7NiI">Starline</a>. Some introduction to spatial audio can be found in this interesting presentation from Dolby: <a href="https://www.youtube.com/watch?v=E2p_2g93xFQ"> Improving intelligibility with spatial audio</a> </div><h2 style="text-align: left;"><b>Audio effects</b></h2><p>The voice coming from participants also needs to be adapted to the environment where you are placed in the virtual space to sound realistic. For example, if you are in a cave the reverberation and echo need to be different than if you are in an open space.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgd4MxUWYeGslIroGcyzV8WoX0ozuqoMlnXqYMZLjJJ677Mt2eCJ44HF7z9URQ8qdPxgHKtVaMclwU3-fu9ZAlRlkBoXTBsHJpU-YWI3bHK-crm54KK4aAgA_wFq_4AspiitBoOJ-rWGoU/" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img alt="" data-original-height="343" data-original-width="800" height="137" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgd4MxUWYeGslIroGcyzV8WoX0ozuqoMlnXqYMZLjJJ677Mt2eCJ44HF7z9URQ8qdPxgHKtVaMclwU3-fu9ZAlRlkBoXTBsHJpU-YWI3bHK-crm54KK4aAgA_wFq_4AspiitBoOJ-rWGoU/" width="320" /></a></div>In addition to that if you can impersonate or take different forms inside the metaverse (a robot, an animal...) it would be cool if some of those customizations also apply to your voice to change your appearance or just to "improve" your voice when you are tired or hoarse.<p></p><p>For the former (adaptation to the space and conditions) those effects could be applied on the receiver side while the later (voice tunning) could be applied probably in the sender side.</p><p></p><h2 style="text-align: left;"><b>Large scale routing infrastructure based on virtual locations</b></h2><p>While being in the metaverse you are communicating with people around you instead of or not only with people in predefined rooms. That means that the architecture for audio routing has the following particularities:</p><p></p><ul style="text-align: left;"><li>Routing must be based on location instead of room identifiers.</li><li>Routing must be able to scale to a very large number of participants (imagine somebody singing/shouting in a concert venue or thousands of people talking at the same time in that venue).</li></ul><p></p><p>To address these requirements we need an architecture where the participants connect to a voice server close to their physical location to have as low latency as possible but the audio routing is based on the virtual location instead. So your server will subscribe to the audio of users with a virtual location (the geographical position in the metaverse) close to yours and when receiving the audio from those servers filter it (or even mix it) based on the distance between the source and the destination of the audio. <br /><br />In addition to the distance, there are other parameters (like the presence of walls in the middle) that need to be taken into consideration to decide what are the most relevant audio streams for a user so probably the voice servers need to get access to more information from the 3d world servers than just the location.</p><p>Given the tightly coupling required with the 3d environment and the low latency overlay already required <b>it is possible that we don't really need specific RTC servers</b> but just to add some new capabilities to the existing gaming servers to properly route and filter audio packets in addition to other 3d interactions.</p><h2 style="text-align: left;"><b>Video is secondary and replaced with the transmission of face features/expressions</b></h2><p>My expectation would be that traditional video transmission will become less relevant and even marginal. It would be mostly replaced with very detailed face features extraction on the sender side combined with very realistic 3d rendering of faces on the receiver side. Something like super high-quality 3d animojis that will be even photorealistic for some use cases.<br /><br />The technology for that is almost there and you can see demos of videoconferencing doing this way from <a href="https://blogs.nvidia.com/blog/2020/10/05/gan-video-conferencing-maxine/">NVIDIA</a> and amazing digital humans in <a href="https://www.unrealengine.com/en-US/digital-humans">this Epic product</a>.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrBFBjinoD3u78JpUWOBeeBGENqLPAkjU5UOzwwVqFs4Zfd4SS7SLwEbu9eCkiaWOv3Y0aEAgoGYg7M5I2hbpEKT8QdPg2QzhcAJL46wzgPxf_Ived1efRnjxOY5ezvG0ANLsfKXR-RiU/" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="630" data-original-width="1200" height="168" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrBFBjinoD3u78JpUWOBeeBGENqLPAkjU5UOzwwVqFs4Zfd4SS7SLwEbu9eCkiaWOv3Y0aEAgoGYg7M5I2hbpEKT8QdPg2QzhcAJL46wzgPxf_Ived1efRnjxOY5ezvG0ANLsfKXR-RiU/" width="320" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div>Could this apply also to voice so that instead of sending our voice we only need to send its "features"? We have already seen some codecs like <a href="https://www.youtube.com/watch?v=7CCGTwmGl6M">Lira</a> going this way to try to reduce the bandwidth consumption and maybe that's what the future looks like in terms of audio codecs but I am not an expert and don't have a clear opinion about it.<br /><p></p><h2 style="text-align: left;"><b>Arbitrary data channels are already in place</b></h2><p>A third dimension of RTC apart from audio and video is sometimes data (for example in the case of WebRTC that's provided by DataChannels). In the case of the metaverse by definition, it needs to have very low latency and high scale messaging overlay to distribute and synchronize the state of the world so I don't expect any need for data capabilities in the RTC layers. </p><h2 style="text-align: left;"><b>Other features</b></h2><p>Some standard requirements like captioning for accessibility or even recording could also apply (hopefully we don't end up in a metaverse where everything is recorded) but don't look like they have different challenges than today.<b><br /></b></p><h2 style="text-align: left;"><b>Wrapping-up</b></h2><p>It is clear that the metaverse vision is coming one way or another and looks like one of the critical components will be the Real-Time Communications and specifically the voice communications support. Our current solutions for RTC need to evolve and go to the next level especially in terms of audio manipulation (effects and adaptation to the 3d environment) and large-scale architectures while it is possible video communications will be less relevant in these metaverse use cases.<br /><br /><i style="background-color: white; color: #444444; font-family: Roboto, sans-serif; font-size: 15px;"><span face="Roboto, sans-serif">And as usual feedback is more than welcomed either here or </span><a href="https://twitter.com/anarchyco" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; color: #2196f3; text-decoration-line: none;">in Twitter</a><span face="Roboto, sans-serif">.</span></i></p><p></p><br />Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com7tag:blogger.com,1999:blog-460321274846352896.post-14471268123166470642021-02-04T00:55:00.019-08:002021-02-04T02:24:55.434-08:00WebRTC Video Codecs performance evaluation<div class="separator"></div><p>The standard and most popular codecs in WebRTC are VP8 and H.264 but those are not the only options we have. VP9 has been available for a while and some <a href="https://bloggeek.me/vp9-codec/?utm_source=rss&utm_medium=rss&utm_campaign=vp9-codec">big services are using it</a> and AV1 support has been <a href="https://www.chromestatus.com/feature/6206321818861568">recently added to Chrome</a>.</p><p>When comparing codecs there are interesting considerations like interoperability and licensing but probably the most important factors are how good the codec is in terms of compression and how cheap the codec is in terms of cpu&memory usage.</p><p>The compression ratio is usually the first thing we look at and there are many comparisons available for that, but the resource consumption is equally important if we want to be able to use the codecs for real time use cases.</p><p>Given that AV1 is available in the Chrome Canary versions I decided to run some tests to get estimation of where we stand in terms of cpu usage for the 4 available codecs in WebRTC ecosystem. The idea of the test is to compare the whole video pipeline with those 4 codecs and not just the codecs in isolation.</p><h4 style="text-align: left;">Testing environment</h4><p>The tests were done with a simple web page establishing a connection between 2 PeerConnections (one sending and the other receiving). The test page is here in case you want to run the tests yourself:</p><p>https://jsfiddle.net/tvo7czxs/</p><p>The tests with that page were performed changing 3 variables: <br /></p><ul style="text-align: left;"><li>Codec: VP8, VP9, H264, AV1</li><li>Resolution: HD, VGA, QVGA</li><li>Bitrate: 200Kbps, 800Kbps, 2Mbps</li></ul><div>If you look at the test page it is easy to change those 3 parameters to run the tests with other configurations or in other devices.</div><div><br /></div><div>The Chrome version used was the latest one synced from git this week (1/2/21) and the tests were ran in a MacBook Pro (2.4 GHz 8-Core Intel Core i9). </div><div><br /></div><div>To check the CPU usage I just looked at the average CPU consumed by the Chrome process in the system Activity Monitor after waiting 30 seconds to give time for the stabilisation of bandwidth estimation and resolution/framerate adaption inside WebRTC. When the results below say 100% that means 1 full core of the machine.</div><div><br /></div><div>Nothing too fancy but hopefully easy enough to understand.<br /></div><div><br /></div>In that environment I ran the 36 combinations of the parameters a couple of times, averaged the results and summarised them in the following sections: <p></p><h4 style="text-align: left;">QVGA results</h4><p></p>For QVGA resolution the results were as expected, with VP9 requiring a bit more CPU than VP8 and AV1 requiring almost 2x CPU as VP8. H.264 was the one requiring less CPU usage as it is using hardware acceleration for that.<div><br /></div><div><google-sheets-html-origin><div class="separator" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em; text-align: center;"><img height="214" 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OUOldPF/pFHHtltrzUvlr1J00W4hqrZ4j/FUBeFhx9+eGvkUqxFF5M33HBDrRdY1Fs1VE/DUcJCiFNPPTW44UxSDjrooOCmJE3RzY4mfXbLhhtuaLbeeus0q6ktq5sR9RTTzZwCB12A6mbPvwhtRYClGyzNaeYWzQmmucFsyXuA5c+Xo7CgXqCp/fJDwqjhlwrGbr/9dvPoo492m9vMb1y1lSaarjfXmd6jz5bW9+c//znRkyp1E7Ljjjt26RUXdWDpJua2227rNpTVXV4PYFBIqTD3P//5T+2lX/ziF3Vv7nVjo/e4wY5fDwVh+hx+61vfaujYt2/SsFZ/7jedw+oFFxp+a58IqPWoF6F6E0aV5557zlxxxRW1l9V+I0aMCP5dbxJ3zXOnwCeuuMOTwwIs3WhqeLY7hNdf5ze+8Y2grZKELnH1cV/X0HAd1/6QZ/88oO2feeaZtV8rFDjllFO6bEohymmnnVb7nTuJu574qoCl1SWsR5YCDbWnna8xapvrrLNOMCdhVLij9+k4dx9yIgO1lZ7g6xeFpEcffXS3c86DDz4YGNcrCk3322+/ur2AFSpoCKUteiDLVlttFYSnOo9EFX0W9cCV1VdfvdsijRzDjbahQkT1vguzc9epY037ZUPkqO3pc3PLLbcYPe23XtG5Qp9BhYRJSis/E/72sjp36rOlHtT1zkc6DvT3fNNNN438u6jPzp/+9KcgBIsrmmfze9/7Xpc5VePew+sIIIAAAgggkA+BXAdY7g26bn50A+V+06tv1twbEX8yc/+JUbqx0w1eu4pu6saMGWP0NMWkRTcDw4cP73ajn3WApZ4Fd911V5dqaqhl2m+U3RUocIt7EmIrAizd8OvG3y3+nFtVDbAUNP3hD38IvpFOU3RDGvWENH1DrhthOyw3zXp1bK+22mqRb/nHP/7RpUdQvXXbnlJur8GoAEshp27Etf6kRaGrHgYQdwzXW587j5+W23zzzYObsLCiUE2BvFt046bgIaqHy/XXX290nrPFDW6zDrAUSOtzlaSot43mhIoLZZOsS8s8/PDDQXiapKgd1fPQlrwGWHr6q27A/QdoRO2jQied56ICUT/AUuilYeJhRe2iAM8eZ3qSrZ7yq151ScvGG29stthii6AHqV/8AGvIkCFBrzk7/D9uGwqTd9pppy6LtSvAqvdU3qh6a7oD9SILK/6DAOL2XZ76XCv0q1da/Zmw28rq3KnjXCHeI488EkdQe13nkWOOOabbOVk9FvVAn6Rf8mmFOuaPOOKIxOFg4kqyIAIIIIAAAghkKpDrAEvfyml+I1v8m2r/ZtftgaKLI33jqwsbFc0Rpbmi2lmuu+46M2HChNBN6iZKQwL9J+jZhf2hjv7NaL39OOSQQ4LhDGmKf7OjwFBhQNalFQFWWOhx8skndxl6VdUAS3Oahd206uZXNwPqeRJ2E6mbpp/97GdGT2Nziz5XClTcp9vZ1xX0aJ0KlnXDGnYjruNebRMWyKgnxk033RT5edHNSb2ePnpjVID1+9//3rz22mvd1q39VO8G3bCHfRa1P6pvo0NONF+Sem7YEjUXnF73hzvb92joWdTQQ7cHqpZ3j/t6AZY/XDjqc+6eh/weWGHvUY+gqDZSrzn1pmm2xB0nOufXC4HSBlh+SNhs/e373R5Yf/3rX41+woqGY8rU/i3zl9ENfdgQXf+cXq/ebm9bfc70tzOsHfV3oX///sEQ3DBjhdMKqf3iB1iNGPrzGjZyDKfdbr3wSuc7/YRZ6HOgL4A0VNItuh7QdUFY0bp0PopqZwWEW265Zeh7s/hM2A1lde6s17NRx7xK2N8mBbaa69Sek3UcKrzyv1Cx53Ydszq/u8Pt7b5F9exPe5ywPAIIIIAAAgi0TyDXAZZurnVDai+UdSGiR5ErjNKwIV2g29d08acwxF7U+BOS64JHc3a0qzz55JNB7yu36IJq9913NxpmYId+6KJKPUP8ISr1bpz9Sdzr3eAm3V+/p4g/HDPpetIu12yApSBFgYp7MyXns846q0tVqhhgyURD2Fwb9cJQLyB3KKfmLBo7dmy3oGvYsGFGP275+9//bu64444uv4saNqPhLPqGXTd4bgl7ambUTbPqqp6VdlithplcffXVkUOswgIsfbZ0s+QWfb722msvs/zyy9d+rZslBWj+EJSoibqTHOth87MpWNKcRn6JCkqitq9hZhpmbYvm4nGffFcvwLLvSTMBdlSApQBQw051zlAwqQBTobKe2OcXPXSj3rC3OFMdq2pjP1zRjf23v/3t2nEim8svvzz0BjhtgOXWyZ/EPapHXZpJ3HXcycX/W6FhrBrqZHs0ad/1+VMPHrdEfTlTL8BST2SdA/R3VJZub9sbb7zRKLhxi74Q2WOPPWqBjPZPPR+1DT/MDnuoSL0Aa+DAgcGwO805pvVqyP0DDzxgdP5wi5ZToOqXNMdw3PHlvq4gSUGeH9Qp7NPE/bY3oYZoK3xUnd2iYfwazm+Leq6q15i/PvXI1DnO9vRUT0z1SnKDb7uOsF7RWX0mtM2szp06x15yySXdjnl9Camg217H6djS8eifk3W8bLTRRsH7dbxceOGFXdal4er67LhfPOhvh86x/hcZrXoITppji2URQAABBBBAoHGBXAdY2i0Na9Pwtriib/Z14aOiLu8aDmHnufEvJOPW1ezrfvCm9anHiy6U7DeL/jbCvkHVRbJuXv2SRYClC3X3G0rdDGpy+KxLowGWbnT0bbbCP3/YQNij7asYYGn4jzuRdFwvRP8b8bA549ynfurY0GdLD1eIGuKmz6CCFLd3k0I03WC4JaynWNRcbroB1JxyYb0b/QBLN+cKXtw5r9SbScOJo4KUu+++u0tIoABBQWCjEyr7ZlHDM6OGCUc9gdXvoaobYQUqtrQjwJKJHs4QNszSH8KtejX7EA193jUvk1t0/GmYoF8UpGmoqx4E4Ja8BVgK2ty5kPRFjXpVRU3er9Dpsssu67JPYaFwWIClY17Hsp1AXedR9VyxQ8Xt3IXuyhUUKDAIKzJWXTQc0BatS/V3zwlRAZY/V6Fdh50EX+GUW/R3yp8jMqsAKyzI0xdoK620UqhFWC86XYfYXqz+/HY6r+jYdZ+W665Y+zVq1KguYW1YD86sPhNZnjv9c5PCQM1PGjZ3mI5RBVTucFb3adK+e70vHBQ2quejG7p+5zvfCYa+UhBAAAEEEECgGAK5D7B0EaVeEVFD8cSsb9/Vvd4Wv5dI2NPvsmyesGECSebf8m9kVEf3AtjWOYsAy59EvJleJ2ls/QBLPWKi5inTxacuPNWjx3/Cmt2mLoQ1L5p/k1PFAMsfWhn1JE9rZ3v06MZKQatuljQHlC1hE/1r4mf7tLaodtdcRZqfxRb12Np7771r/9YNioa+ub1qwua8cdevZfXZ8If9+QGWhiAr6LFF+6YJ/+s92U/L+p8xPWBBE5E3UtRjTeckW8L2Tce032vQ3ZZ6GfrDGP0bYv88l3WApTBEPb6iQnn/IRraHwWXCjAbLX7Ip6ccuseov96wYzZPAZYfMqv+YWGUv1/+MRW2T2EBVty6FXj7QYE+42HzWtk66QsEhcRuzyL3CyUtFxZgadij1h0Vfoe9J2y4ZBYBVtg5KckQWP/4VC86faGiIWz+kPyoL6jctg4bHu+HaFl9JrI6d+qhCxry5xb/qcH+8R7Wk/X4448PAi//ukkPnlEvuahih3Xr/KX3Dx06tNabq9HzEu9DAAEEEEAAgfYJ5D7AshTqyq5u9bpY1U2rLtjVM0HfnrlDA/WNsC7o7M2wJqJWjwe36KZG3cj1o6BDN+paVzOTNbvr94cCuU8Gq9e0GmIwcuTILouEzWeVRYDlDj1SBdwu+lkejn6A1ey2om7Qqhhghd0c68lLCnujbho1HMWf98q2iT5TmgxePTbsE6OS9NLzb8L8z2RYPTW3k+0lEnVMhN3c+QGWf0Oe9MmaenqbAgBb/OF5aY5T/wY7LGzw90Vzs7hPovvhD3/YZbij/9Q8nbt03nNL1gFWkl6afohSbxL7OFMdcxqC5ZYkD5q49tpru0w2n6cAyw8J9GACBZFxRZ9TzVHnFr93km8fdoy47w8b9pi0x5zfg9LvBRsWRsWFaaqbP8db2FQAWQRYujbQ3E9uUfDtz2nlt5OGd2r6AoX6aks9PVHXFv6UAgpP9HkNe+Kwu05/Lk+95gZfWX4msjp3+sd8vXkRXQsNOVSQZW31RYC+iPDXJ1t9QaIhzWFFPfT1E2cf9xnkdQQQQAABBBDojEBhAiz/QjvqBty/mHFvcHSBrjl5op7EpJtx3ZQ1W/wbR/UQUE+BJOX8888PQjpb9OQlXai5JYsAyw+S6k0Ym2Q/ki7TqgBLPQTkHPWEuyoGWDreddPlz7miG1ndWA0aNCgYAtjMnET12llzyOjpb//85z+DeUps8eey8Z/KVW+ic3d7YU/t8wMsv3dCvacruuv2A6KwedWSHuNqB92Iu73F/IcM6ObMzvOi9tDnXkG4Lf4wF39y6bAwKesASzeJ6k1Xr/g9hZIGiGHr1BcYekqfLer5peFwccWfIydPAZY/bFdPmtN8YkmKP+xbQ7A07NcWP8CKGopqlw/rrRY2ZC+sbn5Ao560Cl1tSdqbyl+3eiW6c+iFzVeURYDlP3xBvcXU+6vR4g9H1PxMmu8pSfGHCrs9WLP8TGR17tRTcV966aXarvtPj05i4i6judg0ob9fNMzQ/p3Tl5xR14xpt8fyCCCAAAIIINBZgUIGWFFkuqHVRZe9YfeHl/gXTmHraWaokNanm1SFMm7xbyzqNbnfWyDshiaLAEvzQrhP8Ulzgd3MIdxsgKWeMRoCoG/8o3oOqX5+gNVMIOHfdIb18ktr4g/h1JAcO0lw1Lr++Mc/Bk+us8V9Cqf9Xdg8Lv76NDfWqquuGlzsa0LutEXfik+ZMiXolaU5dDRERP8f9YRNP8Dye28kGapj6+i7uQGWzgN63S2aXyjO1S7vT06dpFdYlJ3/uXaH0vlBo3oO6HV3Ym//aVmad0hzIdkSNkQ56wAryeTH/vw0zQRY/rqS9mz1w5M8BViahN/taaf2jBveGnV8apL1wYMH144JP8CK+9umUEF/I92StC4aIucG5b5xWICVZEJ//29dWI/kLAIsf16pZh9q4v99VU/YTTbZJNGp1p+SoN78T636TGR57vSHPiuw1XVOo0XnTw2xDntioV2nvhTQEHqFf/qpd63QaD14HwIIIIAAAgi0R6BUAZaeeuU+Ccjt8u8PCdIFjUIaFX2L6V58N/NUv7C5bMLmsYpqXr8HmSZ41ePD3ZJFgKXJYt3Jjv1v0LM6HP0AS6GjAo6oYgMIPUFLQzT8eYGi3ue3v5ZzH2OfZv/88CBuHp4k684qwNLF/a233hr0gkpSFGCp913cPEW6WdDDFfTwAb+HV9x2/ADLn8Ok3qTR/rr9CdLdACtseE1c3eq9nmQeu6j3P/fcc+aKK66ovezeEPtDKG1PUP+pf/bphf7TJXUu02t+D4OsA6yw+Yj8/W9lgKXeVzpX2zJkyJDgqa5xxR8al6cAq9kA3913fxJ/P8Dy54r03cKG5MbZ1ntdw+HtMekHWDpm/Scvhq2rUwGWniCsXmW2JBkuW8/CHwqpJ6DqC4MkxT8/uF++ZPWZyPLc6ffs2nfffYPewM0UDalV+KreWEmKvrTRxO1RE+gnWQfLIIAAAggggEBnBEoTYPlP/vN7EGnuFDtvjy4ANbTQPvHGf/JS2NPXkjZP2DfNaYKShx56yNx22221zYUNp8oiwPJ76shI32o20+1egZh64yiwiJo7pNGnECZtD7ucnpJ10UUXdXlb2MTYSdbrh31hTz1Msh53mawCLLsNDZtVwOs+ja9eHdWrTDdZ88wzT7fFwp62lWZ//QBr9OjRwVBDW9IEWJoMWMeYLW6ApXVq3a0qaW46/W1q/jA9XMCGfe7ny3/qoZ2c2J9Lz85H5PeUieqxlnWAZetZz7eVAUo/S88AACAASURBVJbf8zGuR5FbL/c8k5cAK2zOqWaO1bXXXtvsvPPOtVX4AVbcRNl33nmn0dC5VhX3ixv/76K+iPAnNQ/bbqcCLD298oUXXqhVKcmE6/Xc/DA6yfxfdn1Tp0416rXkFntNkdVnIstzp4b9ug/sCOtV18gxqHmt1HNOf+uSfqmSpidcI3XiPQgggAACCCDQeoHSBFjqZaJvkG3RzaJ97L0/n42GWWi4hVuuuuoq88wzz9R+pbk36j15KaopdGHmz8uim6f+/fsnaj1/zpiw4WlZBFh+DxFVNskQoXo75d5Aa9iW5vLyH8fergAr7CYgTbu4++n3+vF7PiRqaG8hP8BK0mvP7wkWNoTQ3YxumPVtvh6IoB5p9YZc6H0anqleNu7nIK6Xhm5M1TNOc47oR4+c17GlJ4naEjeEME0w4fdscAMsP5jW9psZqqJeaXFPXKzX9n5Qd+ihhwYTPLufZ3eibbWTblBtsXPFaB4/t0dd1M1w2QIs/2mWmu9u+PDhiT5u7ucrLwGWKu7fzGtOukaPMb1XQ4FtSRtgPfjgg0EAYIs+9wrnGy0619v59YoWYPk9m+Keihpn5H6BpmXVc1A9CJMUzY2nOfJsccO/rD4TWZ47/b+fSebSS+Jkl9E1mMJH9aDTf+O+tGm2bdPUjWURQAABBBBAoHmBUgRY/sWx393f74IfNqm6hkK5N9lJehdE8fuhTJogyL/pCLu4yiLA8nuIaN+a6VkUNrGqAgDN7eOWdgVYYT3jkk7o7dY3bG6QbbbZxihcaKb4AVaS+Zb0lCw9LcuWuADLr58mWX/++eeDMEvzKYV9a+3OqxP2lEytU4GTegEpsNLQTr/4EyL7AdbDDz9sdCNmS9Lhq2Ft4QZYYWGyP3l6M22W9r3+OUYTs+tHYbst7nBU/0lzdu4btzeHQgZNtB02EX/ZAqz777/fjB07tmaVtKfsp59+2uUJjXkKsPz5gNJ+husdg2kDLN3sq+eRLXFPLUxz/BctwPLDPP+cVW/fdV7yv/zy22KzzTYLniaYpKhHkeYJtMV9eEFWn4ksz53uAyu0T1tvvbXR3HhJSpht3PvUQ1d/5/QFpa4Fw0on/y7E1Z/XEUAAAQQQQKCrQCkCLHf4my4cFYq4N9L+E5L8R9KLRDfw6tFiywEHHBD0Hmmk6Ik47lwMGtah4R1Jij/Za1jvniwCLNXN7yGi3ylYaWRi77DJw8PmzGlXgKXeR7pIdYcuNDKh9Msvv2wuvvjiLk3ZiiEQfk8M/Vs3KvWK/xSyqJtfTaauudk0EXhUkYuCJA0jcos7FDes91WSoTB+LwH1FDnooINqm/GHq6i3nuZJiesB+cYbb5jzzjuvS339pxD6PbSS1NeuUD031duhVU9p9HuCqqeNbt7c0MDvmeGfDzQ/n55Uaku9G+uyBVj+eVzHicK8uOIfJ3kKsPwHMYSF/FH79/nnnxsNm4qakDptgKWHMWhYtVv8z1NUXRQsKHBVXcI+t0ULsPzrAfVGPe644+IOtSAgueCCC4Jzhs7fmlRd5+W77rormDPQljTzJvq9y91pBbL8TGR17tQUCZoqwZak84vZsE7nZE1JoM+K+9RofSGjY1BBf1TRMvp7pN6tbknzpOjYg4AFEEAAAQQQQCBTgcIHWP5Fd9j8Of5QnLCnAvrzyjRzQeM/cUwBkHp0xc0nFTZPk270dcPvlqwCLH+ograpbR944IGxdXfrFzZhelRviXYFWKqfP6+JbjJ+9rOfBSFF0uLfcOp9jc6l5W4zba89XYj7N+9+gKVAUj207NMAk0y67R+7btjkT7ae9IlXfgjj97AK25eddtopGHJaryhIVKBY74bb76WWtCeF22tTx4lumPbff//avHlJjxd/Of+zq4Dwscceqy3m97zzn4amz5Ebjteb16hsAZbfk0poSYYfqWeter/ZkqcAa9y4cUYP7rBFoZx65PXq1avuIabwSiGvgmcFRtonhaHuxOBpA6ywObmS9o5xHz6ifdAwYgX7thQtwArrbXrkkUfW/RJA++oHVfZhDePHjzea084t7jQHUY3tP1lZy+khG5qQXyXLz0RW506/R5n+/urvcNwXBfqyQmG0LXp6oYbMqkeXnqCsEFXr0t/FetdaOs4VzOrvji0a7qprRwoCCCCAAAII5F+g8AGWO4mpLuR1IeR/I+0HQ3YyZLd5/G8yDzvssGBIVCPFX5fWseeeewbDrOoV/5HqUU8XyyrAUt30JB+FeW7RPFyaaybuAlPvUXd91c8fjuY/4t2uv50Blj9UTXXQI7U1OXdcbx8tGxbMhU2y38gx488LEveENf9beW3TD7D8Cc6TzNXlz/3izhfnD3fyJ40O2++nn37aXH311V1e0hOgNKzWLX5wpuFL6oUWdSM/efJkc+GFF3bbpN9jxH+qp96gIEo3lvWKelG4w010U655yeJC6Li2v/fee40mbQ8rAwYMCHoJuiVuMuV6c6UlCbD++9//Gp13bKnX08SfiDrJMOtWTuKuOqr32euvv16rr3q56GmzUe3y4YcfBk9odEueAix/eLvquf7665ttt9227qEUdlzrwSRu75O0AZY26B/3Oi/qmKw3h6MbptlKK1hQb0dbsgyw0hzDcZ9P+7r+fikgdOdPcp8cGraeL774Ivgyww1G7N89zTfoP3UxyVx//pOVtd2jjjoqCAhtyeozkdW5U9cI+tvkFh3vOu6jStgclgoAFVjpGsItYT3s/fX6f2/jHnCQ9LhhOQQQQAABBBDIXqDQAZZ/IRT1pCD/4lHf3PmTOfs3Wkkm0a7XPGFhlG6c/d5UWoculhVI6JtJt0RNLpplgBU2jER1WmyxxcwOO+wQ+dhp9QRQF3/doPvhlXrqHHzwwaEhUTsDLH1brWF37jBC7ZuCSl3ARk2erBsSTZz973//u1uTJ7lYTvIx9ns36T0yC3vMtz+Xkl2/H2A98MADwZMH3aIhaArdwoqGGerGwvVxe2CkDZn0FEr1AvO9dfOlmzC3hN3gKdBR7z8de25RbwYNUQ2bs8sPsLRttbna3hbd9KhnY5SD/yAFvW/zzTc3CgCbLfUeTx82fCxsLhpbh7jwNEmA5fc0UWChc19Yr8Q8BFh+b1pZqBebeuz5IbTaXL0z3F4bWj5PAZbqc8UVVwQPOnBLvbmwNJ+PzhduCesN2UiAFRYUqNef5gu0D0Vxt6shjAq9fGP/PJNlgJXmGE7z+X3iiSeMznluCbt2sK/7Tw3V793zUdhTHuv1cFPPTJ3n3OLOf2V/n9VnIstzp2+lL8d0rtdx7BfVQ3+X9PfJFv1NUI9iFb8nrr78ULgeNbRWc2HpoT1uSdK7Ls2xw7IIIIAAAgggkJ1AoQMs96ZfF0D6xjSsx4Y/NCKsl4F7c6Z1+d+Wpm0C/1th+37Nu6T5LxZffPHg2119A6+JiXXj4BZdhKlnQdiNZJYBlurgd/H3L6BVf33Tr3nG1HVfTyxS76Swp/3I+ogjjojsSdPOAEv7ETaUw70oVu8g3SSoV4HCBu2fHZ7gHwODBg0y++67b9pDI3R5fwirFtJxqB5QetqavOWsyYXVozCs+De9Yb1PdJOvb7o1d4j2U//W3EzqNajhL3a4odbv92gM68EWFv7JTfX0A1lb57AAQa/5vb/s8ssuu2wQLupzrFBM648qYXP2hPWc0/v1WZSv7c2goXky8Hsgqh10nEbdEKU9APy5y+z7o+bn8ntY2OXjHh6QJMDy5+XSuhUcqtelio4T65OHAEt1Us879cBzi0IWDavS51c9YfQZ0fHkBpf1jj/fIepvgB9CRAWbYcPxNJQ2rCjc0d8bP5DVcNdNNtkkCNj1d0038AqlH3nkkW6rCQu7GwmwtGL/KZf2XKTjTV/A6JwuYw0513xG/tNMw4LVLAOsNMdw2s+q/7dW79d5X8PNdMzpHKnzhuZV8kM8PaBhiy22qG1SZjo/+X8n1c4aFqh21vq0Hj1l1J+nSSuK6hmexWdC28vq3Kk2k4V/zMtM1xc63+tvkc7FYZ9jhV0rrrhiYBvW4109ZnU+UA/r+eabL/jboS/n9HdJf8fcEvaFStrjhOURQAABBBBAoH0ChQ2w/IDoe9/7XnCxH1X8iUP1hD11W9cFlC6QJkyYUHurLjp1IdVs8beZdH26iB0xYkRwMxZWsg6wtM2wb3WT1t8up4tIDWupN/yk3QGW6uYOO027T3Z53aRpKGqrQg2tNyrYSFrHsF4butnV8d1I2X777btMkqtQ76yzzuoyRMauV0GrLNRbze9xFbZtDfX1n1io3hzXXXdd6I1b2Dr0OfFvgBQEhA11DevhlsRE2zj00EMbHk4ctg1/Unu7jNo/LIAPG8qj98Q9OStJgKX1+J9Bt85ur9a8BFgKTDSc1Q1bk7SlXSZvPbBUL01qrb8XjRT/c2rX0WiAJdeRI0eGfs7j6qfwU71Z9AWMW7IMsNIcw3H1919XmKS5oMJ6e9Zbl3oSqXeuP7Q1KhBKUq96gXUWnwlbp6zOnWFfiCRxCAuNw+amTLKuLM7vSbbLMggggAACCCDQuEBhA6yLLrqo1hMlySSgejqNhsbEXYjqwls3dD179mxc1Xmnvh284YYbEt3U621Rw6bcyrQjwNL2NEG2hlDo5iNt0bAehYr69rNe6USApfo0evGs96rXjoYcJpk3K41bmpslfWs8bNgwowt3W6KGHfkTgSepU1TPkjR11HbUy0tBn+rp9jKsN+fJ3/72t25PQ/TrrPXqW/hzzjmny0tRvVxsm8si7hxgV6ggLGrYbxLDqGXUi2zUqFFdXlaPg6OPPjr0LWFPW0zyVLSkAVa9kNPtZZiXAEtI6l2oYEH/jSs61jTvmA288hhg2fOtPidhvcai9rHeFzeNBljalsJqBa3uAwbinPW3S0MHw4YaZh1gJT2G4/Yh7HUNUVSIoykLkpSll17a6CnGUV9uqMeW2sbvuRa1bv2d0RyUmlesXmn1Z8Ldlv5eZnHufOGFF4I5EpOG0VFPLIwaylrPS+d39aBWDzgKAggggAACCBRHoJABlj/xbb15KdymUCCj+UaiLpZ04a2bbXeC1FY0pXqlaC4LXaxF3TzrhnyDDTYIHg09zzzz1N2sP6Qo6/kbVG/NbxU1dM2trG549U3xwgsvnIjOf1R3ksnuE604wUK6MdGNj+aUirtp1E3E0KFDgzaKmisrwSZjF9FNiOZg0jf1YT2ZdNGtnoaaj0lPGHQnMq9np4mvdUOq99QruphX+9XbR92M6mYmbIiLXbcCFtVRk9GrF4I/GbGGfyiAiirqYanjTkPFVGd9hvT5VK9EPcVQ88Pps6SJfG1JMvRXw7AUKGu9UZ9Fa6xhQnFPg4tt0JAFNJxFvafc9g17eqp9a9jySSbkV285d96YepOua2iNnojnnxvduWb8QEyT7Ou8Va/ovKEh0rb4w6oa8bPvUciiemtYXdg5XeG5Ah6F6Rpebj/jYfMI6QsO9Qq0Rb1H/ad86jUFYZrnz5aop5f5Qwh1/lB7xBXtk3pi6bNV76ZeIbp6CuvpmFHF72nayJN1NYRLQwrrDdvV51LDtVSnqMn0/WF++qJIbRJX/L919R6ukuQYjtte1Os6V2ieTAU5YUPl9T7tk75EiAuatKwCFw1X1t+fqPXpizmd5/Q3R+FgktLKz4S/vazOnfpc6kmhmgcu6pys4ZW77rpr3Wszfeb0udHfz3pfuun8rgn0dW7wewomMWYZBBBAAAEEEOisQCEDLLdLe9oeU7oR1s23whj77b1u0lZaaaXghiAuPGq2uXRhpW9gNZ+RLqQWWmihYH4jf6LqZreTxft1caxvjTWXhH70b/VUU931oxuZZp/SlkW9k6xTYZb2SRfpOi5086Af3ezq5kGBTJKnMCbZVtJlVBeFN5qDS8MwVQcNTWmm55faTD2hpkyZYqZPnx6sS+vWfmrdafZRN6W6sdWPzHQsa14YHc/N1DGpjz95c9KbYrt+1VlBmT6LOo7lqx/tR6t6YCbdl7wsJwt7Q61jQp/pdrRlM/uvMEDnVB2HOj8pfNWx7A9RbWYbnXivQjUdn/rR51ZfCuizpf9mEazW20eFA/JVXXQ+kq2ti86PeTrvZ30Mq110/tSPXPSFl465pCGT72zbWevTPFk6/6iNNU9mo5+9rD8TWZ07tV45qA3Vg83aph2qr79N9rOjIFh/19Q+ctXw/zwdr504t7BNBBBAAAEEiixQyABLPRd0gaaiG800N91uY2kdupBp9CKxyA1P3RHIk8CYMWOCz6JuWPRjJxGvV0d/8t6vfe1rwfw7FAQQQAABBBBAAAEEEEAAgfIJFDLAKl8zsEcIVFvAHeIliSTD084999zgW3ZbWjk8rdqtwd4jgAACCCCAAAIIIIAAAvkTIMDKX5tQIwQqJ/CHP/wheGS6LXqUuubsiSr+nFpa7kc/+lHkkzsrB8oOI4AAAggggAACCCCAAAIlEyDAKlmDsjsIFFFAEyTrxy2aT0tPWtQEvpqQW3N2aa6j++67r9tk9FpWEzwzt0kRW586I4AAAggggAACCCCAAALxAgRY8UYsgQACGQtoPrrf/va3wQTzaYvmsDvhhBNin4iXdr0sjwACCCCAAAIIIIAAAgggkB8BAqz8tAU1QaDSAuphpXmt9KTQpEVP7DrwwAODp0tREEAAAQQQQAABBBBAAAEEyitAgFXetmXPECicwOzZs8348ePNuHHjjB6pHlUWW2wxs84665h11103eBIpBQEEEEAAAQQQQAABBBBAoNwCBFjlbl/2DoHCCnzyySdm2rRp5r333gt6Zc0777xmwIABQW8r/ZeCAAIIIIAAAggggAACCCBQHQECrOq0NXuKAAIIIIAAAggggAACCCCAAAIIFFKAAKuQzUalEUAAAQQQQAABBBBAAAEEEEAAgeoIEGBVp63ZUwQQQAABBBBAAAEEEEAAAQQQQKCQAgRYhWw2Ko0AAggggAACCCCAAAIIIIAAAghUR4AAqzptzZ4igAACCCCAAAIIIIAAAggggAAChRQgwCpks1FpBBBAAAEEEEAAAQQQQAABBBBAoDoCBFjVaWv2FAEEEEAAAQQQQAABBBBAAAEEECikAAFWIZuNSiOAAAIIIIAAAggggAACCCCAAALVESDAqk5bs6cIIIAAAggggAACCCCAAAIIIIBAIQUIsArZbFQaAQQQQAABBBBAAAEEEEAAAQQQqI4AAVZ12po9RQABBBBAAAEEEEAAAQQQQAABBAopQIBVyGaj0ggggAACCCCAAAIIIIAAAggggEB1BAiwqtPW7CkCCCCAAAIIIIAAAggggAACCCBQSAECrEI2G5VGAAEEEEAAAQQQQAABBBBAAAEEqiNAgFWdtmZPEUAAAQQQQAABBBBAAAEEEEAAgUIKEGAVstmoNAIIIIAAAggggAACCCCAAAIIIFAdAQKs6rQ1e4oAAggggAACCCCAAAIIIIAAAggUUoAAq5DNRqURQAABBBBAAAEEEEAAAQQQQACB6ggQYFWnrdlTBBBAAAEEEEAAAQQQQAABBBBAoJACBFiFbDYqjQACCCCAAAIIIIAAAggggAACCFRHgACrOm3NniKAAAIIIIAAAggggAACCCCAAAKFFCDAKmSzUWkEEEAAAQQQQAABBBBAAAEEEECgOgIEWNVpa/YUAQQQQAABBBBAAAEEEEAAAQQQKKQAAVYhm41KI4AAAskFXn13dvKFEyy5QL8eZkC/HgmWZJGsBL58dVLLV91zmeVavk5WmELgi/fNnM/fSvGG+EV7zLtK/EIskSuBSR+90dL69Ju7j/lKv0Vauk5WhgACCCCAQKcECLA6Jc92EUAAgYwFXnl7tvnxlTPMzC9av6Ejtuhtthkyd+tXzBpjBaaffZqZOe7O2OXSLtB7k83M/CefnvZtLN8CgdlTrjCznz+wBWvyVjFXH9NzzftMj/nXav26WWNLBd6ZMc0c+/A55tn3XmzperWyEavtYfYftFPL18sKEUAAAQQQaLcAAVa7xdkeAggg0CaBY8fMNBMmf5nZ1m4+sp8Z0Lfxnlh//etfzZtvvhnUb6+99jJzzx0fiD3zzDPm8ccfD96z4447mnnnnddcffXVZs6cOaH72adPH9OvXz+z/PLLm2984xt1Ld5++23z5JNPmldeeSV4zworrGCGDh1qevfunZlh2hXPvPsOM/2cn6d9W+Ll5zv8eNN3m8ZvdP/973+b8ePHB9vbbLPNzOKLLx677Xfeecfceef/Arlvf/vbZuDAgWbs2LFm6tSpoe+dZ555gnZfdNFFzbe+9a26x81HH31knn76afP8888Hy+k4WG+99RIda7EVb9UCX35qZj0woFVr67aeHgPWNT2H/r3p9U+bNs3cdtttwXo23XRTs9RSS0WuU5/Hq666KvhcfvOb3wx+/DJlyhSjz/Orr75qevbsaZZbbjmzxhprmIUWWqhuXd944w3z7LPPmpdeeik4BvS5HjRoUOL90zFx8803mx49eph99tkn8fuyXvAXj15obpt0X2abuX6Lc83yA6LbrNENv/DCC+af//xn8PbBgwcHbeiWVp0Twur3+uuvm5tuuik4T2+wwQaN7gLvQwABBBAokAABVoEai6oigAACaQT2u3iGee291g4fdLd/+cF9zdILz5WmSl2WPe+888zIkSOD31133XWJbkCGDx9u7rvvPrPIIosEQcmXX34ZhBJJioKRo48+2my99dbdFh89erQ59dRTu/1+mWWWMeeee24QlOShfDrmcvPJZaMyq0q/Pfcz8+4/ouH1P/LII0GwqHLEEUeYY489NnZdo0aNMqef/r+eX/fee69ZeeWVzfbbb28ee+yx2PfON9985oc//GGwLQUSblEIpt9//PHHXX7/ta99zVx66aXdbrRjN5bVAjNfN7MeTnYMN1SFPkuZudd7paG3um9S2LT55psHv7riiivMsGHDItepz+XSSy8dvK7P3FFHHVVbdsaMGebss882f/jDH0Lfr2NBwdJcc3U9t+h9J510krnhhhu6vU+f6V/96lemf//+sft5+OGHB6GHisIw/7iJXUFGC4y4/1Tz+NvPZLR2Y0ZtcqoZulj9EL+Rjevzd/vttwdvXWuttcytt97aZTWtOif4dfvkk0/MdtttF4TTI0aMMKecckoj1ec9CCCAAAIFEyDAKliDUV0EEEAgqUDeAyzdPNpgaNdddw2ConrlrbfeMmuuuWawiA1HPvvss1qApTDD7/Gj19XDwy3XX3+9WX/99Wu/uvbaa80xxxxT+7duhtX7xw1QHn74YbPssssmpc9subwHWLNnzw5sZa6g6NFHH+0WRLg46qGz4YYbBr3ehgwZUrsRdgMsBY9umTVrllFvOTeYUvsdeeSRtcXUU0g3tbbsvPPOZv755w96dv33v/8NAtBx48aZr3zlK5m1VeIVVyzAUlvpM6eitt14442NPqfqhffuu+8Gvz/ttNPMD37wgxrhF198YbbZZhuj3jwqq622WtBbb8KECbXP6VZbbWUuvvjiuoGUf1wQYCU+SkMXfO+998zqq6/e5bV77rnHrLLK/8291qpzgn8OOOSQQ2o9NwmwmmtH3o0AAggUSYAAq0itRV0RQACBFAJ5D7C0K7ZHlf7/xRdfDIbuRZWLLrrI/OIXvwhetoGSG2Adf/zx5rDDDuv2dgUe559/ftBDQ0XBih2GqJsr3WwpDNHvNaxxwQUXDJbT0LPvfe97wf/vsMMO5ve//30K/WwWzXuApb12e1TdcsstZu21147EeOKJJ2o94hRgKshUsQGWhvuF9bjRMn/5y1+C0MoGWf/4xz+Mesx9+OGHQSimMERBlXrbrLjiisF6tezBBx9sHnjggWBY25/+9CejYaYdLRUKsBQKq21V9ttvv6DXox06PH369KDnlXrs2M/fwgsvHPy/2sl+tvWeAw/833xhCkB/+tOfmssuuyz491133RWEW2FFQxY32WSTLsEnAVZzR/7ll18e9HzS507DQBVEq11tj0q79lacE+y6FGLqc6+eV7YQYDXXjrwbAQQQKJIAAVaRWou6IoAAAikEihBgqdfFQQcdFOyVbnK23XbbyD3UHCe6QXJDjSQBll2hO3RIN9LqrTVp0qRab6yf/OQnwXA0t+jmTDdpbuiVoglavmgRAiz1XlNvKpW9997bnHnmmZEO1lcLTJw4MZjbSiVJgKXlNPRUQ9RULrzwwmBIkYItG3Co7TQXl1s0b84666wT/ErD2NRzp6OlQgGWQkoFyeotqfnm+vbt24XeHaY4ZswYs9FGGxmFzPqvPvsatqg2dYf9ucfbz372s9r5xF2xhjTuscceQfDtFgKs5o58BYL63OocruDfDgnXvFhqY1tacU5QWKn168sIvxBgNdeOvBsBBBAokgABVpFai7oigAACKQSKEGApgNIQFPWM0c2p5tYJK7rZtUGDDSq0XJoAy+3FoQmmNRG1hpNpAmCVsJtf9da54447CLBSHHdadP/99zd33313cBOrHhO9evXqtga37dUT76yzzqotkzTAcsOoH/3oR8EcSe7canrdn0tJG/nud78b9OCIC9hS7nZji1cowFIAoV5S6hEXNgfWBx98YFZdddXA8de//rXZfffdg2Go6gGpEjWUV0NWFYYpRNEk/37R0MKf//znQY88BdkKq1UIsBo7ZPUu95ysB2lozjP1fFTRHGff//73u6y82XOCetKqp5eK2lFtqh65qgcBVuPtyDsRQACBogkQYBWtxagvAgggkFCgCAGWdkU3lroZUXnqqaeCmxO/aJiQJt5WIKJl7LCvNAHWNddcY4477rhg1er5ZZ+MZsMMTQavIYR23bop1jw7KurREzbJe8KmaNliReiBpZ2V47777hvsd1gvKP3e7SnltodeSxpgadip5lBSsQHkiSeeGDwBTze7GlYYVnbZpNciDAAAIABJREFUZZfgNc3BpifSdbRUKMCKc9YDGhRmqmhicPXks8Gz7QWpnjjqjaVgVE8hVOC1wAILRK76ueeeq004r15dCsk0f5IKAVZci0S/bntP6pys4dZ6WusWW2wRtIuGZWsuLLc0e05QgKW21vBBPbVW29WXGgRYjbch70QAAQSKKECAVcRWo84IIIBAAoGiBFj/+c9/gt5QKuqFY29g7S66PXU0VEVBhfuafQph1BxYWlY9vDSUzE7o7g5x0ZPvdEOrZXRTtNNOO5lp06bVJhTX7/RkLXdi4gT8mSxSlABLN5uacF/zUGnybc1f5hcFXLqp1UTe999/f5eXkwRYCjI0mb99opwdcubOlab2tnMsuRtQrzv1vgvbdiYNV2+lBQywNM+RDYDDdk3D/uyk+v5TCKMoNFG75pxTzzh3iOEFF1xgfvnLXwa9e/QZ1zxZdrJ3u64TTjgh6IXjt7WeXLjlllsGw9zs3Ex//vOfCbCaPMjlqvbXOdMN9//4xz8atYWKDSDtppo9J2g9WofbxgRYTTYkb0cAAQQKKECAVcBGo8oIIIBAEoGiBFjaF3sj4j6Jzu6jnhxnn0jmP+HK7YGlJ82pZ40tCjgURGmeK/UCsje9YcNNNKzpgAMOCGW182UlMc96maIEWHLQcDEN51NRL5gBAwbUePQUwcGDBwf/VjihUMItNsBSwGQn7revf/TRR0ZPpFRgZSdy1s20njCniaQVSGpooIo74bd9v54+qDBDRb391KOvo6WAAVYaryQBlgIvhZHqbaWieY523HHH4P/dnj52wn71xtITJNX7xhZ/GKpt/9GjRwdPKlW7a5ghAVaa1gtfVoG+huyqqCflGmusEfy/OwQ07MmyzZwTwmpCgNV8W7IGBBBAoGgCBFhFazHqiwACCCQUKFKA5U7G7c9zY+dOUUihoWZucQOsJCyaAF5hlp0sXCGXhjDa+XgUaKy77rrmk08+MRrOpKKeV3oC4corr5xkE5kuU6QA6+WXX67NieM+YVBAl1xySa0n3bPPPtttCJgNsJJgaqignkJn20e9NDSUyYZbmhdLwaaGhqrHl/5tgxACrCTC/1vGnWBdPaTint5oA+O4AEvtpZBKvXdUtt5669qQYv1b4bVCbFs03FjLqLzzzjtBkGInZ1ewstZaawWv/e1vfzN77rln8P/uEFUCrORtHrWkwimZh/Vg1IMw1PtKRcMJF1poodpqmjknhNWFAKv5tmQNCCCAQNEECLCK1mLUFwEEEEgoUKQAa/r06bUAwh0KqBtUO1TJTurs7n5cgKUb7eWWWy6YD0kTQSvYcIvb80o3ZeoNZJ+MpuFn6pVlg5Co+bkSNkdLFitSgKUdVi+aRx55pMuTI/V7+/Qy9Zr73e9+180mLsBSj5oVVlghWK96b/mTxLsTTPsr1zGhnn5///vfGUKY4qh0Ayw9bEEPXYgqeuqfJvVWqRdgffrpp8FwPgWLKhpKrB5Tmk/JlkMPPdTccsstwT81F54erOAWnSPWX3/9IJS0wwTV81LHmEK0Y489NujdZQsBVopGD1nUnRtQx4A/WbuCQ31JoBLWA7LRc0JYrQmwmmtL3o0AAggUUYAAq4itRp0RQACBBAJFCrC0O8ccc4y59tprg7BJ3+736NEjuBFS7wwVzZXVv3//LnvuBli6UdXNri16v4aU1SsaaqYhZxqS9NBDD3XrVRI2SXgC+swWKVqA5T750Q7FdIMQzV+lHm9+sQGWJtHXMeGWsDmtwsBfe+214NhR+6oouNpoo43MYYcdZjShvyZ6ZxL35IdqqwMsBU+aB80OA1SYec4553QLIxUqax4slfHjx5uvfvWr3SqtufHUy8q2p9rYDkdUbz834NTn3Pa4vPLKK4PzjELyhRdeODlGBkuOuP9U8/jbz2Sw5v+tctQmp5qhi32j6fX/5je/CZ4QmaToXC5v90mgjZ4TwrZHgJWkFVgGAQQQKJcAAVa52pO9QQABBGoCRQuwFHAouFCxQ37sEwL1Lb8eze6XNE8hDDs0FJCoR0HYfC12+Q022CB46pmefKU5XDpZihZgqYfNiiuuGJDZpwTap06G3dxa2ySTuCdtBw1RmzJlill88cVrE0DvscceQQ+sqOMq6bpbslwB58BqtgeWhpLttttuwUT6Kgqc9IRQhUl+cUNsTcZuh/+6y9l5suyQNnveSNo+CjPtgySSvqfVyxUhwHInYlcgLO+w8t5779UemKHh4TqH2tLoOSFsOwRYrT4KWR8CCCCQfwECrPy3ETVEAAEEGhIoWoCl+aj0pDGFRZrXRj0yNAxIxX+ilQVpNsCyj33X08/UUyOs2JBLQ9XUG6STpWgBlqxOPPHEoLfTaqutZu64447a0wkVOmhC/bDSTICl4aiPPvpoMHxM63GHo2lb7gTyGr6o46yjpWIB1uTJk812221Xe6iCevQozIoqd999t9E8eCo333xz0MvKL/aJljZk1r/VYyys6PhwJ4PXMpo0PqwnYDuPiyIEWO68YnpAg57YGlbcua4UMtkeb3bZRs4JYdshwGrnEcq2EEAAgXwIEGDlox2oBQIIINBygaIFWALQBM3qoaMhfXqqmHpdhU0UbLGaDbDU60PDydSb4B//+Ee3YUTusCl/IvKWN1iCFRYxwHLno5LhkUceGezphAkTgifJhZVmAiwNNbW9aX71q18Z9bZyi+qg36tEDUlL0BStW6RCAZY/wb4mbv/Od75T13LGjBnBED+FTmFzpr3xxhu1UCtJIMkcWI0fupqvTH4qYUO63TXbua7CPmeNnBPCak2A1Xhb8k4EEECgqAIEWEVtOeqNAAIIxAgUMcBye8fY3Tv99NODyZnDSrMB1uOPPx70BlHR0wY1J84SSywR/Pu5554LJoxWjzAFXJrLZdFFF+3ocVfEAEtgdtJ2i1evx5uWaSbAUk8+PYlOw9M0TFG9v77+9a8bhSfXX399MFRN5cADDwwmme54qVCApaGHJ598ckC++eabBxPwRxW1mf0s2mBby2quPPXc01MQp06dGjylUGGoPqPqIRQ2R5a7DQKsxo54TYyvXpQq6nmlHlj1ijvXlT5zhx9+eJfF054TwrZFgNVYW/IuBBBAoMgCBFhFbj3qjgACCNQRKGKApd3RDenYsWNre+Y/it3d5WYDLK3Ln5RYT7jTROGab8eWPMyRo7oUNcBygwvtR5xnMwGW1u8OddK/1aYKR+3QMQVcV199dRB6dLxUJMBSsLjyyivX2iDO/bTTTgvOBSr2CYPqJWmLwhSdG2xRMDV06NC41QY9iNSTSEW9t8Lm3YpdSQYL5H0IofsZ1mfHDu+Oovjkk09qc2QtssgiQW9H9wEMac8JYdshwMrgQGSVCCCAQM4FCLBy3kBUDwEEEGhUoKgBlp4ap6cDquywww7m97//fSTB559/bpZbbrngdc2r4j6FMI2btvmTn/ykNvGwfa/m29G8V7rxzkMpaoDl9t4Iu5n1be3wI82J5j+FMGk73HPPPeanP/1ptzbV/Go//vGPuz3RMul6W75cQQIs9UgcNmxYsPtxAeSXX35pll566WBZ9ZjSsFHNSbbGGmsk5vN7XqoH3W9/+1szevToLiGYjhEFUu5E4fU2ctttt9XmXiPAStwcxoZFCn2fffbZLmFU1FpOOOEEo2GiKmPGjAmeAmpL2nNC2Da22WaboPedPtMnnXRS8p1hSQQQQACBwgoQYBW26ag4AgggUF+gqAFWJ9v1/fffN5MmTTK9evUKeu3069evk9Xptu2iBlidQlSQoqGECioWXHDBIFTp27dvp6oTvt2CBFh5QVNPrtdffz3oUbfqqqvmrz0bhMp7D6wGd4u3IYAAAggg0FIBAqyWcrIyBBBAID8CBFj5aYtW1YQAq1WSOVoPAVaOGqNzVSHA6pw9W0YAAQQQKI4AAVZx2oqaIoAAAqkECLBScRViYQKsQjRTukoSYKXzKunSBFglbVh2CwEEEECgpQIEWC3lZGUIIIBAfgQu+Ovn5ubHvsikQsssMpe57KCcDcXKZE/ztdIvnn7CfHDUwZlVasCZ55lea62T2fpZcbjAl49+y8yZPiETnrmW+IGZa+VRmayblbZO4PLnbzYXPj2mdSv01vS3na42/ebuk9n6WTECCCCAAALtECDAaocy20AAAQQ6JHDhXz83j0/6sqVb/9oCPcyBm/Qyyy46V0vXy8qSCcz861/MjBuvMXO+nJXsDQmW6tFjLtN3x91Nny23S7A0i7RaYM6nL5nZL51gzKf/9+TLVmyjx4Ibm7lWOq8Vq2IdbRC46N/Xmdsn32/mnbt1Xw4s2Ht+M2L1Pc03F8nHgyjawMgmEEAAAQRKLECAVeLGZdcQQAABBBBAAAEEEEAAAQQQQACBMggQYJWhFdkHBBBAAAEEEEAAAQQQQAABBBBAoMQCBFglblx2DQEEEEAAAQQQQAABBBBAAAEEECiDAAFWGVqRfUAAAQQQQAABBBBAAAEEEEAAAQRKLECAVeLGZdcQQAABBBBAAAEEEEAAAQQQQACBMggQYJWhFdkHBBBAAAEEEEAAAQQQQAABBBBAoMQCBFglblx2DQEEEEAAAQQQQAABBBBAAAEEECiDAAFWGVqRfUAAAQQQQAABBBBAAAEEEEAAAQRKLECAVeLGZdcQQAABBBBAAAEEEEAAAQQQQACBMggQYJWhFdkHBBBAAAEEEEAAAQQQQAABBBBAoMQCBFglblx2DQEEEEAAAQQQQAABBBBAAAEEECiDAAFWGVqRfUAAAQQQQAABBBBAAAEEEEAAAQRKLECAVeLGZdcQQAABBBBAAAEEEEAAAQQQQACBMggQYJWhFdkHBBBAAAEEEEAAAQQQQAABBBBAoMQCBFglblx2DQEEEEAAAQQQQAABBBBAAAEEECiDAAFWGVqRfUAAAQQQQAABBBBAAAEEEEAAAQRKLECAVeLGZdcQQAABBBBAAAEEEEAAAQQQQACBMggQYJWhFdkHBBBAAAEEEEAAAQQQQAABBBBAoMQCBFglblx2DQEEEEAAAQQQQAABBBBAAAEEECiDAAFWGVqRfUAAAQQQQAABBBBAAAEEEEAAAQRKLECAVeLGZdcQQAABBBBAAAEEEEAAAQQQQACBMggQYJWhFdkHBBBAAAEEEEAAAQQQQAABBBBAoMQCBFglblx2DQEEEEAAAQQQQAABBBBAAAEEECiDAAFWGVqRfUAAAQQQQAABBBBAAAEEEEAAAQRKLECAVeLGZdcQQAABBBBAAAEEEEAAAQQQQACBMggQYJWhFdkHBBBAAAEEEEAAAQQQQAABBBBAoMQCpQywXn31VfPuu+/WbbZBgwaZvn37dlvm8ccfN0899ZSZNm2aGTx4sBk6dKhZYIEFSnwIsGsIIIAAAggggAACCCCAAAIIIIBAvgVKGWBtueWWZuzYsXXlJ0yYEARUtrz//vtm+PDh5s477+z2vksuucQccMAB+W5JaocAAggggAACCCCAAAIIIIAAAgiUVKCUAdb8889vpk+fnjjAmjVrlhk2bJh54IEHgvdstdVWZvnllzd33323mThxYvC7Cy+80IwYMaKkhwG7hQACCCCAAAIIIIAAAggggAACCORXoHQB1pQpU8wSSywRiP/lL38x6667bqi+Qq655poreO3GG280u+66a/D/l156qdl///2D/58xY4bZbbfdzO2332769+9v3nrrLdOvX7/8tiY1QwABBBBAAAEEEEAAAQQQQAABBEooULoAa9y4cWbzzTcPmkrzWC244IKxzbb++uubhx9+2AwcONC88MILXZZ/7bXXzDLLLBP87rLLLjP77bdf7PpYAAEEEEAAAQQQQAABBBBAAAEEEECgdQKlC7DOOeccc9xxxwVDAF9++eVYqZkzZ9Ymcz/77LPNscce2+09G264oXnwwQeDYOyuu+6KXScLIIAAAggggAACCCCAAAIIIIAAAgi0TqB0Adb3v/99M2bMGLPXXnuZgw8+OJjXavLkyWa55ZYzQ4YMCUIoO3RQjE888UTwe5X77rvPbLLJJt10TzjhBDNy5Eiz2GKLmalTp7ZOnzUhgAACCCCAAAIIIIAAAggggAACCMQKlC7AWmGFFcwrr7wSuePf+c53zOWXX26WXnrpYJl77rknmMBd5cknnzRrrLFGt/cqvFKIpaIJ33v27BkLywIIIIAAAggggAACCCCAAAIIIIAAAq0RKFWA9dFHH5kBAwbUZJZcckmz9dZbB0ME9UTB5557Lnht0KBBZsKECaZ3797mlltuMTvuuGPwe813tdRSS3WTHT16tDnooIOC3+vphvPNN19r9FkLAggggAACCCCAAAIIIIAAAggggECsQKkCrKeffrrWg2rfffc1Cp7mnnvuAOGLL74wRx99tDn//PODf5911lnm+OOPNzfddJPZZZddgt+9/fbbZtFFF+2Gds011wRDElWSTgwfK88CCCCAAAIIIIAAAggggAACCCCAAAKJBEoVYGmP58yZUwui3Lmu9Npnn30W9L7SEMMNNtjA/P3vf+8yhHDSpElm2WWX7QY3atQoc8ghhwS/16Tv6rmVpowfPz7N4iyLAAIIIIAAAggggAACCCBQUYGPv/zUvPrZW+bdLz4wX86ZnWuFeXr0NAvNM8As0/urZr6e/XJdVyqXTmDNNddM94Y2LF26ACvObMSIEeaiiy4y/fv3Nx9++KF59tlnzWqrrRa8TcMKBw8e3G0VZ5xxhjnllFOC3ysgS1sIsNKKsTwCCCCAAAIIIIAAAgggUD2B1z+bas5544/m8zlfFGrne881jzl2ieFmyd5fKVS9qWy0AAFWDo6OE088MRg+qDJ79mzz3nvv1YYNakL3TTfdtFstjzrqKHPuueea5Zdf3rz88ss52AuqgAACCCCAAAIIIIAAAgggUDaBk/95rhn32sOF3K3Nll7fnLHuEYWsO5UuhkCpemBpfqvf/va35uOPPzavv/666dWrV7dW2H777c2f//xnM2TIEKOeUQqx7FMFTzrpJKPeVn5ZaaWVzMSJE83w4cPNVVddVYyWpZYIIIAAAggggAACCCCAAAKFEtjoT8PNp7NmFKrOtrLz95rP3LvDFYWsO5UuhkCpAqzrr7/e7L777oG8Qqptt922SyvoKYSrrrpq8Ltjjz3WnH322cH/H3744ea8884ziy22mJkyZUot0NJrGlZou85deeWVZu+99y5Gy1JLBBBAAAEEEEAAAQQQQACBQgmsdf3OhaqvX9nHdrup0PWn8vkWKFWApeGAyy23nJk+fXoQRt15551m6NChQQs888wzZqeddgp6UqlMnTo1WEblpZdeMiuuuGLw/3ra4KWXXhr03po8eXIwpFCTvmvZV1991fTp0yffLUrtEEAAAQQQQAABBBBAAAEECilAgFXIZqPSbRIoVYAls7Fjx5ott9yyxrf66qubWbNmGfW+suWOO+4wW221VRdi2wvL/lLve/rpp2vLaL1bbLFFm5qFzSCAAAIIIIAAAggggAACCFRNgACrai3O/qYRKF2ApZ3/17/+ZQ477DDz2GOPdbFYb731zOjRo80qq6wSanTBBRcYTfKuHly2DBw40Ghurc022yyNK8sigAACCCCAAAIIIIAAAgggkEqAACsVFwtXTKCUAZZtw/fffz8YHqhJ2gcNGpRo+N+cOXPMpEmTzJtvvmmWWmqp4MdO8l6xY4PdRQABBBBAAAEEEEAAAQQQaKMAAVYbsdlU4QRKHWAVrjWoMAIIIIAAAggggAACCCCAQGUFCLAq2/TseAIBAqwESCyCAAIIIIAAAggggAACCCCAQNYCBFhZC7P+IgsQYBW59ag7AggggAACCCCAAAIIIIBAaQQIsErTlOxIBgIEWBmgskoEEEAAAQQQQAABBBBAAAEE0goQYKUVY/kqCRBgVam12VcEEEAAAQQQQAABBBBAAIHcChBg5bZpqFgOBAiwctAIVAEBBBBAAAEEEEAAAQQQQAABAiyOAQSiBQiwODoQQAABBBBAAAEEEEAAAQQQyIEAAVYOGoEq5FaAACu3TUPFEEAAAQQQQAABBBBAAAEEqiRAgFWl1mZf0woQYKUVY3kEEEAAAQQQQAABBBBAAAEEMhAgwMoAlVWWRoAAqzRNyY4ggAACCCCAAAIIIIAAAggUWYAAq8itR92zFiDAylqY9SOAAAIIIIAAAggggAACCCCQQIAAKwESi1RWgACrsk3PjiOAAAIIIIAAAggggAACCORJgAArT61BXfImQICVtxahPggggAACCCCAAAIIIIAAApUUIMCqZLOz0wkFCLASQrEYAggggAACCCCAAAIIIIAAAlkKEGBlqcu6iy5AgFX0FqT+CCCAAAIIIIAAAggggAACpRAgwCpFM7ITGQkQYGUEy2oRQAABBBBAAAEEEEAAAQQQSCNAgJVGi2WrJkCAVbUWZ38RQAABBBBAAAEEEEAAAQRyKUCAlctmoVI5ESDAyklDUA0EEEAAAQQQQAABBBBAAIFqCxBgVbv92fv6AgRYHCEIIIAAAggggAACCCCAAAII5ECAACsHjUAVcitAgJXbpqFiCCCAAAIIIIAAAggggAACVRIgwKpSa7OvaQUIsNKKsTwCCCCAAAIIIIAAAggggAACGQgQYGWAyipLI0CAVZqmZEcQQAABBBBAAAEEEEAAAQSKLECAVeTWo+5ZCxBgZS3M+hFAAAEEEEAAAQQQQAABBBBIIECAlQCJRSorQIBV2aZnxxFAAAEEEEAAAQQQQAABBPIkQICVp9agLnkTIMDKW4tQHwQQQAABBBBAAAEEEEAAgUoKEGBVstnZ6YQCBFgJoVgMAQQQQAABBBBAAAEEEEAAgSwFCLCy1GXdRRcgwCp6C1J/BBBAAAEEEEAAAQQQQACBUggQYJWiGdmJjAQIsDKCZbUIIIAAAggggAACjQtM/GCyufL5W8xDU8abT2fNbHxFbXjn/L3mM+t89Ztmn1W2NwMXWLYNW2QTCCBQVgECrLK2LPvVCgECrFYosg4EEEAAAQQQQACBlglM/GCSOeCeU8zMLz9r2TrbsaK+c/c2l2x6BiFWO7DZBgIlFSDAKmnDslstESDAagkjK0EAAQQQQAABBBBolcDJ/zzXjHvt4Vatrq3r2Wzp9c0Z6x7R1m2yMQQQKI8AAVZ52pI9ab0AAVbrTVkjAggggAACCCCAQBMCG/5pLzMj58MGo3ZPwwnv3eGKJvaetyKAQJUFCLCq3Prse5wAAVacEK8jgAACCCCAAAIItE1gjplj1r5+l7ZtL4sNPbbbTVmslnUigEAFBAiwKtDI7GLDAgRYDdPxRgQQQAABBBBAAIFWCxBgtVqU9SGAQJEECLCK1FrUtd0CBFjtFmd7CCCAAAIIIIAAApECBFgcHAggUGUBAqwqtz77HidAgBUnxOsIIIAAAggggAACbRMgwGobNRtCAIEcChBg5bBRqFJuBAiwctMUVAQBBBBAAAEEEECAAItjAAEEqixAgFXl1mff4wQIsOKEeB0BBBBAAAEEEECgbQIEWG2jZkMIIJBDAQKsHDYKVcqNAAFWbpqCiiCAAAIIIIAAAggQYHEMIIBAlQUIsKrc+ux7nAABVpwQryOAAAIIIIAAAgi0TYAAq23UbAgBBHIoQICVw0ahSrkRIMDKTVNQEQQQQAABBBBAAAECLI4BBBCosgABVpVbn32PEyDAihPidQQQQAABBBBAAIG2CRBgtY2aDSGAQA4FCLBy2ChUKTcCBFi5aQoqggACCCCAAAIIIECAxTGAAAJVFiDAqnLrs+9xAgRYcUK8jgACCCCAAAIIINA2AQKstlGzIQQQyKEAAVYOG4Uq5UaAACs3TUFFEEAAAQQQQAABBAiwOAYQQKDKAgRYVW599j1OgAArTojXEUAAAQQQQAABBNomQIDVNmo2hAACORQgwMpho1Cl3AgQYOWmKagIAggggAACCCCAAAEWxwACCFRZgACryq3PvscJEGDFCfE6AggggAACCCCAQNsECLDaRs2GEEAghwIEWDlsFKqUGwECrNw0BRVBAAEEEEAAAQQQIMDiGEAAgSoLEGBVufXZ9zgBAqw4IV5HAAEEEEAAAQQQaJsAAVbbqNkQAgjkUIAAK4eNQpVyI0CAlZumoCIIIIAAAggggAACBFgcAwggUGUBAqwqtz77HidAgBUnxOsIIIAAAggggAACbRMgwGobNRtCAIEcChBg5bBRqFJuBAiwctMUVAQBBBBAAAEEEECAAItjAAEEqixAgFXl1mff4wQIsOKEeB0BBBBAAAEEEECgbQIEWG2jZkMIIJBDAQKsHDYKVcqNAAFWbpqCiiCAAAIIIIAAAggQYHEMIIBAlQUIsKrc+ux7nAABVpwQryOAAAIIIIAAAgi0TYAAq23UbAgBBHIoQICVw0ahSrkRIMDKTVNQEQQQQAABBBBAAAECLI4BBBCosgABVpVbn32PEyDAihPidQQQQAABBBBAAIG2CRBgtY2aDSGAQA4FCLBy2ChUKTcCBFi5aQoqggACCCCAAAIIIECAxTGAAAJVFiDAqnLrs+9xAgRYcUK8jgACCCCAAAIIINA2AQKstlGzIQQQyKEAAVYOG4Uq5UaAACs3TUFFEEAAAQQQQAABBAiwOAYQQKDKAgRYVW599j1OgAArTojXEUAAAQQQQAABBNomQIDVNmo2hAACORQgwMpho1Cl3AgQYOWmKagIAggggAACCCCAAAEWxwACCFRZgACryq3PvscJEGDFCfE6AggggAACCCCAQNsECLDaRs2GEEAghwIEWDlsFKqUGwECrNw0BRVBAAEEEEAAAQQQIMDiGEAAgSoLEGBVufXZ9zgBAqw4IV5HAAEEEEAAAQQQaJsAAVbbqNkQAgjkUIAAK4eNQpVyI0CAlZumoCIIIIAAAggggAACBFgcAwggUGUBAqwqtz77HieHi37QAAAgAElEQVRAgBUnxOsIIIAAAggggAACbRMgwGobNRtCAIEcChBg5bBRqFJuBAiwctMUVAQBBBBAAAEEEECAAItjAAEEqixAgFXl1mff4wQIsOKEeB0BBBBAAAEEEECgbQIEWG2jZkMIIJBDAQKsHDYKVcqNAAFWbpqCiiCAAAIIIIAAAggQYHEMIIBAlQUIsKrc+ux7nEBlAqxx48aZF1980ay77rpmyJAhkS6PP/64eeqpp8y0adPM4MGDzdChQ80CCywQ58jrCCCAAAIIIIAAAi0QIMBqASKrQACBwgoQYBW26ah4GwQqEWA988wzZrXVVgs4zzzzTHPCCSd0o33//ffN8OHDzZ133tnttUsuucQccMABbWgONoEAAggggAACCFRbgACr2u3P3iNQdQECrKofAex/PYHSB1gzZ8403/rWt8zTTz8dGWDNmjXLDBs2zDzwwAPBMltttZVZfvnlzd13320mTpwY/O7CCy80I0aM4GhCAAEEEEAAAQQQyFCAACtDXFaNAAK5FyDAyn0TUcEOCpQ+wDruuOPMOeecUyMO64F14403ml133TVY5tJLLzX7779/8P8zZswwu+22m7n99ttN//79zVtvvWX69evXweZi0wgggAACCCCAQLkFCLDK3b7sHQII1BcgwOIIQSBaoNQB1n333Wc23XTTLnsfFmCtv/765uGHHzYDBw40L7zwQpflX3vtNbPMMssEv7vsssvMfvvtx/GEAAIIIIAAAgggkJEAAVZGsKwWAQQKIUCAVYhmopIdEihtgKU5rVZeeWXz9ttvm5EjR5qLL77YvPLKK93mwNIQw759+wb8Z599tjn22GO7NcWGG25oHnzwQbP55pubu+66q0NNxWYRQAABBBBAAIHyCxBglb+N2UMEEIgWIMDi6EAgWqC0AZaG/t1www1mvfXWC+a2WmmllUIDrCeeeKL2VEL12Npkk026aWnSd4Vgiy22mJk6dSrHEwIIIIAAAggggEBGAgRYGcGyWgQQKIQAAVYhmolKdkiglAHW1VdfHTxRUOXll18OJmRfYYUVQgOse+65J5jAXeXJJ580a6yxRremUHhln1yoCd979uzZoeZiswgggAACCCCAQLkFCLDK3b7sHQII1BcgwOIIQSBaoHQB1qRJk4LASsWdsyoqwLrlllvMjjvuGCyv+a6WWmqpblqjR482Bx10UPD76dOnm/nmm49jCgEEEEAAAQQQQCADAQKsDFBZJQIIFEaAAKswTUVFOyBQqgBLvaM23njjYEL27bbbztx666010qgA66abbjK77LJLsJzmy1p00UW7NcM111xj9tprr+D306ZNMwsuuGCqpho/fnyq5VkYAQQQQAABBBCoqsAcY8yIl84s9O5f9PUTC11/Ko8AAp0T+CHnv87hs+UuAmuuuWbuREoVYJ111lnmxBNPNP379zcvvfRSMGeVLUmGEKr31rLLLtutkUaNGmUOOeSQ4Pea9L13796pGpIAKxUXCyOAAAIIIIBAhQUIsCrc+Ow6AggYAiwOgrwIEGBl2BLPPvus+cY3vhFsYd999zU777xzl63tsccewfC/PffcM/hZYIEFggnen3nmGbPaaqsFy06YMMEMHjy4Wy3POOMMc8oppwS/nzNHl1UUBBBAAAEEEEAAgSwEGEKYhSrrRACBoggwhLAoLUU9OyFQmh5Yt99+u9l2220TGw4ZMsSoZ9S7775bGzaoCd033XTTbus46qijzLnnnhvMraVJ4SkIIIAAAggggAAC2QgQYGXjyloRQKAYAgRYxWgnatkZgdIEWPfdd5/ZZ599IhXfeOON2mtLLrlk0NPqtttuM7Nnz649VfCkk04y6m3ll5VWWslMnDgxeLLhVVdd1ZmWYqsIIIAAAggggEAFBAiwKtDI7CICCEQKEGBxcCAQLVCaACuukaPmwNL7Dj/8cHPeeecFc2ZNmTKlFmjpNQ0rtGM/r7zySrP33nvHbYrXEUAAAQQQQAABBBoUIMBqEI63IYBAKQQIsErRjOxERgIEWMYEE76vuOKKAbGeNnjppZeaXr16mcmTJwdDCl955ZUg3Hr11VdNnz59MmoKVosAAggggAACCCBAgMUxgAACVRYgwKpy67PvcQIEWP9fyPbCsmCrr766efrpp2t+Y8eONVtssUWcJ68jgAACCCCAAAIINCFAgNUEHm9FAIHCCxBgFb4J2YEMBSoXYI0cOdIcd9xxoaQXXHCBOfHEE4OnFdoycOBAc/7555vNNtssw2Zg1QgggAACCCCAAAISIMDiOEAAgSoLEGBVufXZ9ziBygRYcRD29Tlz5phJkyaZN9980yy11FLBT8+ePZO+neUQQAABBBBAAAEEmhAgwGoCj7cigEDhBQiwCt+E7ECGAgRYGeKyagQQQAABBBBAAIF0AgRY6bxYGgEEyiVAgFWu9mRvWitAgNVaT9aGAAIIIIAAAggg0IQAAVYTeLwVAQQKL0CAVfgmZAcyFCDAyhCXVSOAAAIIIIAAAgikEyDASufF0gggUC4BAqxytSd701oBAqzWerI2BBBAAAEEEEAAgSYECLCawOOtCCBQeAECrMI3ITuQoQABVoa4rBoBBBBAAAEEEEAgnQABVjovlkYAgXIJEGCVqz3Zm9YKEGC11pO1IYAAAggggAACCDQhQIDVBB5vRQCBwgsQYBW+CdmBDAUIsDLEZdUIIIAAAggggAAC6QQIsNJ5sTQCCJRLgACrXO3J3rRWgACrtZ6sDQEEEEAAAQQQQKAJAQKsJvB4KwIIFF6AAKvwTcgOZChAgJUhLqtGAAEEEEAAAQQQSCdAgJXOi6URQKBcAgRY5WpP9qa1AgRYrfVkbQgggAACCCCAAAJNCBBgNYHHWxFAoPACBFiFb0J2IEMBAqwMcVk1AggggAACCCCAQDoBAqx0XiyNAALlEiDAKld7sjetFSDAaq0na0MAAQQQQAABBBBoQoAAqwk83ooAAoUXIMAqfBOyAxkKEGBliMuqEUAAAQQQQAABBNIJEGCl82JpBBAolwABVrnak71prQABVms9WRsCCCCAAAIIIIBAEwIEWE3g8VYEECi8AAFW4ZuQHchQgAArQ1xWjQACCCCAAAIIIJBOgAArnRdLI4BAuQQIsMrVnuxNawUIsFrrydoQQAABBBBAAAEEmhAgwGoCj7cigEDhBQiwCt+E7ECGAgRYGeKyagQQQAABBBBAAIF0AgRY6bxYGgEEyiVAgFWu9mRvWitAgNVaT9aGAAIIIIAAAggg0IQAAVYTeLwVAQQKL0CAVfgmZAcyFCDAyhCXVSOAAAIIIIAAAgikEyDASufF0gggUC4BAqxytSd701oBAqzWerI2BBBAAAEEEEAAgSYECLCawOOtCCBQeAECrMI3ITuQoQABVoa4rBoBBBBAAAEEEEAgnQABVjovlkYAgXIJEGCVqz3Zm9YKEGC11pO1IYAAAggggAACCDQhQIDVBB5vRQCBwgsQYBW+CdmBDAUIsDLEZdUIIIAAAggggAAC6QQIsNJ5sTQCCJRLgACrXO3J3rRWgACrtZ6sDQEEEEAAAQQQQKAJAQKsJvB4KwIIFF6AAKvwTcgOZChAgJUhLqtGAAEEEEAAAQQQSCdAgJXOi6URQKBcAgRY5WpP9qa1AgRYrfVkbQgggAACCCCAAAJNCBBgNYHHWxFAoPACBFiFb0J2IEMBAqwMcVk1AggggAACCCCAQDoBAqx0XiyNAALlEiDAKld7sjetFSDAaq0na0MAAQQQQAABBBBoQoAAqwk83ooAAoUXIMAqfBOyAxkKEGBliMuqEUAAgWYFJn4w2Vz5/C3moSkTzKezZjS7ukzfP3+v+cw6X/2m2WeV7c3ABZbNdFusHAEEyitAgFXetmXPEEAgXoAAK96IJaorQIBV3bZnzxFAIOcCEz+YZA645xQz88vPcl7TrtXrO3dvc8mmZxBiFarVqCwC+REgwMpPW1ATBBBovwABVvvN2WJxBAiwitNW1BQBBComcPI/zzXjXnu4kHu92dLrmzPWPaKQdafSCCDQWQECrM76s3UEEOisAAFWZ/3Zer4FCLDy3T7UDgEEKiyw0Z+G537YYFTzaDjhvTtcUeHWY9cRQKBRAQKsRuV4HwIIlEGAAKsMrcg+ZCVAgJWVLOtFAAEEmhTgAqZJQN6OAAKFFCDAKmSzUWkEEGiRANd/LYJkNaUUIMAqZbOyUwggUAYBLmDK0IrsAwIIpBUgwEorxvIIIFAmAa7/ytSa7EurBQiwWi3K+hBAAIEWCXAB0yJIVoMAAoUSIMAqVHNRWQQQaLEA138tBmV1pRIgwCpVc7IzCCBQJgEuYMrUmuwLAggkFSDASirFcgggUEYBrv/K2KrsU6sECLBaJcl6EEAAgRYLcAHTYlBWhwAChRAgwCpEM1FJBBDISIDrv4xgWW0pBAiwStGM7AQCCJRRgAuYMrYq+4QAAnECBFhxQryOAAJlFuD6r8yty741K0CA1awg70cAAQQyEuACJiNYVosAArkWIMDKdfNQOQQQyFiA67+MgVl9oQUIsArdfFQeAQTKLMAFTJlbl31DAIEoAQIsjg0EEKiyANd/VW599j1OgAArTojXEUAAgQ4JcAHTIXg2iwACHRUgwOooPxtHAIEOC3D91+EGYPO5FiDAynXzUDkEEKiyABcwVW599h2B6goQYFW37dlzBBAwhus/jgIEogUIsDg6EEAAgZwKcAGT04ahWgggkKkAAVamvKwcAQRyLsD1X84biOp1VIAAq6P8bBwBBBCIFuAChqMDAQSqKECAVcVWZ58RQMAKcP3HsYBAtAABFkcHAgggkFMBLmBy2jBUCwEEMhUgwMqUl5UjgEDOBbj+y3kDUb2OChBgdZSfjSOAAALRAlzAcHQggEAVBQiwqtjq7DMCCFgBrv84FhCIFiDA4uhAAAEEcirABUxOG4ZqIYBApgIEWJnysnIEEMi5ANd/OW8gqtdRAQKsjvKzcQQQQCBagAsYjg4EEKiiAAFWFVudfUYAASvA9R/HAgLRAgRYHB0IIIBATgW4gMlpw1AtBBDIVIAAK1NeVo4AAjkX4Pov5w1E9ToqQIDVUX42jgACCEQLcAHD0YEAAlUUIMCqYquzzwggYAW4/uNYQCBagACLowMBBBDIqQAXMDltGKqFAAKZChBgZcrLyhFAIOcCXP/lvIGoXkcFCLA6ys/GEUAAgWgBLmA4OhBAoIoCBFhVbHX2GQEErADXfxwLCEQLEGBxdCCAAAI5FeACJqcNQ7UQQCBTAQKsTHlZOQII5FyA67+cNxDV66gAAVZH+dk4AgggEC3ABQxHBwIIVFGAAKuKrc4+I4CAFeD6j2MBgWgBAiyODgQQQCCnAlzA5LRhqBYCCGQqQICVKS8rRyAQmPXyRPPpdVeZzx/7p5nz8fRcq/ToP7/pNXQd02/3vc3cKwzMdV1bUTmu/1qhyDrKKkCAVdaWZb8QQKDwAlzAFL4J2QEEEGhAgACrATTegkAKgVkvTTQfHP4DM+ezmSne1flFe/TpYxb43SWlD7G4/uv8sUYN8itAgJXftqFmCCBQcQEuYCp+ALD7CFRUgACrog3PbrdN4KPTTzafPfDXtm2vlRvqvclmZv6TT2/lKnO3Lq7/ctckVChHAgRYOWoMqoIAAgi4AlzAcDwggEAVBQiwqtjq7HM7Bd7dftPcDxuM8tBwwkVuuaedXG3fFtd/bSdngwUSIMAqUGNRVQQQqJYAFzDVam/2FgEE/idAgMWRgEC2Au98d+1sN5Dx2he959GMt9DZ1XP911l/tp5vAQKsfLcPtUMAgQoLcAFT4cZn1xGosAABVoUbn11viwABVluYG94I138N0/HGCggQYFWgkdlFBBAopgAXMMVsN2qNAALNCRBgNefHuxGIEyDAihPq7Otc/3XWn63nW4AAK9/tQ+0QQKDCAlzAVLjx2XUEKixAgFXhxmfX2yJAgNUW5oY3wvVfw3S8sQICBFgVaGR2EQEEiinABUwx241aI4BAcwIEWM358W4E4gQIsOKEOvs613+d9Wfr+RYgwMp3+1A7BBCosAAXMBVufHYdgQoLEGBVuPHZ9bYIEGC1hbnhjXD91zAdb6yAAAFWBRqZXUQAgWIKcAFTzHaj1ggg0JwAAVZzfrwbgTgBAqw4oc6+zvVfZ/3Zer4FCLDy3T7UDgEEKizABUyFG59dR6DCAgRYFW58dr0tAgRYbWFueCNc/zVMxxsrIECAVYFGZhcRQKCYAlzAFLPdqDUCCDQnQIDVnB/vRiBOgAArTqizr3P911l/tp5vAQKsfLcPtUMAgQoLcAFT4cZn1xGosAABVoUbn11viwABVluYG94I138N0/HGCggQYFWgkdlFBBAopsD/Y+9cwK2qqv49uAh4QSETK0WNFLVEw1tqZpEJFpZJKl0EU8vCLpZmitrlK63U0j5N6VNBpexTMbXUlDSlzKJEEDIVBFHLC2ZYYqJxOf9nrK91/uvsfW5rrznXHnusdz1PT+fss+ZcY76/wXCu355rLiYwrakbUUMAAsUIYGAV40drCPREAAOrJ0LN/Tvzv+by5+q2CWBg2daH6CAAgQoTYAJTYfEZOgQqTAADq8LiM/RSCGBglYK54Ysw/2sYHQ0rQMCtgfXCCy/Ib3/7W1myZIkMHTpU9tlnH9lpp52kb9++3co6b948WbhwoaxcuVJGjx4te+65pwwZMqQCqcAQIQABawSYwFhThHggAIEyCGBglUGZa1SZAAaWbfWZ/9nWh+iaS8ClgXXFFVfIiSeeKKtWrepAd+utt5Zf/vKXsvPOO9dRV8Nr0qRJcuutt9b97fLLL5fjjjuuuUpxdQhAoHIEmMBUTnIGDAEIiAgGFmkAgbgEMLDi8i3aO/O/ogRp75mAOwPrhhtukA996EPtmh122GHy8ssvy+zZs5PPBg8eLL/+9a+T1VXpsXbtWjnooINkzpw5yUfjx4+XESNGJG10BZcel1xyiUyZMsVzLjA2CEDAGAEmMMYEIRwIQKAUAhhYpWDmIhUmgIFlW3zmf7b1IbrmEnBlYKkR9ZrXvCZZeaWrrebPny9bbLFFQnjp0qWyww47JD/raipdVZUes2bNkiOPPDL5dfr06XLssccmP69evVomTpwoN998c2J8Pfvss7LRRhs1VzGuDgEIVIYAE5jKSM1AIQCBDAEMLNIBAnEJYGDF5Vu0d+Z/RQnS3jMBVwaWrqx617velej1gx/8QD7zmc900G7y5Mnyox/9SIYNGybPPPNM+35Y+++/v9x7770ycuRIWbx4cYc2Tz75pGy77bbJZzNmzJBjjjnGcz4wNghAwBABJjCGxCAUCECgNAIYWKWh5kIVJYCBZVt45n+29SG65hJwZWA999xzyeOBDz/8sJx00kmyySabdKD7jW98Q772ta8lq6l0k/b+/fvLK6+8IhtuuGFy3rnnniunnHJKnSIHHHCA3HPPPTJu3Di5/fbbm6sYV4cABCpDgAlMZaRmoBCAQIYABhbpAIG4BDCw4vIt2jvzv6IEae+ZgCsDqzuh/va3vyVvInzsscfkqKOOSlZi6bFgwQLZfffdk5/vuusuGTNmTF03p512mpxzzjnJyq0VK1Z4zgfGBgEIGCLABMaQGIQCAQiURgADqzTUXKiiBDCwbAvP/M+2PkTXXAKuDax//vOfcscddySrpq677rpkbyxdfXX33XfLHnvskZC/8847kw3c9XjggQdkt912q1NEzSs1sfTQfbb69evXXNW4OgQgUAkCTGAqITODhAAEaghgYJESEIhLAAMrLt+ivTP/K0qQ9p4JuDawdPP1D3zgAx30+/3vf5+sxEqPG2+8USZMmJD8qvtdDR8+vE7vyy67TI4//vjkczXBah9N9JwgjA0CEGgeASYwzWPPlSEAgeYRwMBqHnuuXA0CGFi2dWb+Z1sfomsuAdcG1k033SSXXnqpDBgwIHk8UM0nPS688MJkg/e+ffvK9ddfL0cccUTyue6hlb61MCvL1VdfnTx2qIfunTV06NDmqsbVIQCBShBgAlMJmRkkBCBQQwADi5SAQFwCGFhx+RbtnflfUYK090zAtYGVFe7FF1+UT3ziEzJr1qzkY32kUI2r7COEy5cvl+22265O72nTpskJJ5yQfK6bvg8cODBXTtx///25zudkCEAAAkrg00u/3dIgfrj91JaOn+AhAIHmEGgTkSnUv+bA56qVILDNqVNaepxPnjOtpePvKXjmfz0R4u9lEUi3XSrrer25TmUMLIWhK7C22mqr5P/Hjx8vt9xyizz44IMyatSohNX8+fNl9OjRddzOPvtsOfPMM5PP29p0WpXvwMDKx4uzIQCB/yPABIZMgAAEqkgAA6uKqjPmMglgYJVJO/+1mP/lZ0aLOAQwsOJwrev1pZde6nKfKt3vSve9GjFihCxbtkyef/759scGdTXWgQceWNffSSedJBdccEF7m5KGwWUgAIGKE2AJecUTgOFDoKIEeISwosIz7NII8AhhaagbuhDzv4aw0agiBFytwDr//PPl5JNPTt40qHtV9e/fv05GNah0P6y99tpL/vjHP8r69evb3yp4+umni662qj123HFHWbJkiUyaNElmzpxZkdRgmBCAQLMJMIFptgJcHwIQaAYBDKxmUOeaVSKAgWVbbeZ/tvUhuuYScGVgZd8oqI8H6mOC2WPx4sWy0047JR+p0fXd7343+fnEE09MNnYfNmyYPP300+2Glv5NHytMl85dddVVMnny5OYqxtUhAIHKEGACUxmpGSgEIJAhgIFFOkAgLgEMrLh8i/bO/K8oQdp7JuDKwPrHP/4hulpK3yaoZtSMGTNk7NixssEGGyR7XU2cOFEeeuihRE/9/5133jn5eenSpbLDDjskP+vbBqdPn568ufDxxx9PHil87LHHkv6eeOIJGTRokOd8YGwQgIAhAkxgDIlBKBCAQGkEMLBKQ82FKkoAA8u28Mz/bOtDdM0l4MrAUpRz5syRMWPGtFPVxwmHDx/eblzpH6644gr5+Mc/3oF8ugor/XDXXXeVRYsWtZ9z2223ycEHH9xctbg6BCBQKQJMYColN4OFAAT+QwADi1SAQFwCGFhx+RbtnflfUYK090zAnYGlYuljf5/5zGdk7ty5HbTTfa+mTZvW/khgrbAXX3yxTJ06NXlLYXqMHDlSLrroomQlFwcEIACBMgkwgSmTNteCAASsEMDAsqIEcXglgIFlW1nmf7b1IbrmEnBpYKVI//73v8ujjz4qffv2TR4t3GyzzXqk3dbWJsuXL5ennnoqWbml/+vXr1+P7TgBAhCAQGgCTGBCE6U/CECgFQhgYLWCSsTYygQwsGyrx/zPtj5E11wCrg2s5qLl6hCAAASKEWACU4wfrSEAgdYkgIHVmroRdesQwMCyrRXzP9v6EF1zCWBgNZc/V4cABCDQJQEmMCQHBCBQRQIYWFVUnTGXSQADq0za+a/F/C8/M1pUhwAGVnW0ZqQQgECLEWAC02KCES4EIBCEAAZWEIx0AoEuCWBg2U4O5n+29SG65hLAwGouf64OAQhAoEsCTGBIDghAoIoEMLCqqDpjLpMABlaZtPNfi/lffma0qA4BDKzqaM1IIQCBFiPABKbFBCNcCEAgCAEMrCAY6QQCXRLAwLKdHMz/bOtDdM0lgIHVXP5cHQIQgECXBJjAkBwQgEAVCWBgVVF1xlwmAQysMmnnvxbzv/zMaFEdAhhY1dGakUIAAi1GgAlMiwlGuBCAQBACGFhBMNIJBLokgIFlOzmY/9nWh+iaSwADq7n8uToEIACBLgkwgSE5IACBKhLAwKqi6oy5TAIYWGXSzn8t5n/5mdGiOgQwsKqjNSOFAARajAATmBYTjHAhAIEgBDCwgmCkEwh0SQADy3ZyMP+zrQ/RNZcABlZz+XN1CEAAAl0SYAJDckAgLoG1y5bIy9fMlH/P/a20rX457sUK9t5n8GAZsOe+stGHJ0v/N40s2Jvt5hhYtvWpanRLV6yXa36/RuYuXSer/91mGsPgQX1krxH95MP7biBv2rJvXawYWKblE+Z/tvUhuuYSwMBqLn+uDgEIQAADixyAQBMIrF26RP5x4iek7dVXmnD1xi/ZZ9CGMuS/L3NtYmFgNZ4ftIxDQM2rz89cLa+uidN/rF4HbdBHLpw8qM7EwsCKRTxMvxhYYTjSi08CGFg+dWVUEICAAwJMYByIyBDMEnjxrDPk1Tl3mI2vu8AGjhkrm55xVkvG3pugMbB6Q4lzyiRw1k2vyt0PrS3zksGu9e4395czPjiwQ38YWMHwRumI+V8UrHTqhAAGlhMhGQYEIOCPABMYf5oyIjsEnn//u8w/NtgVrT6bDJbX3vQrOzADR4KBFRgo3RUmcMh3Xzb/2GBXg9THCW86aSMMrMJZUF4HzP/KY82VWo8ABlbraUbEEIBARQgwgamI0AyzKQRYgdAU7L26KAZWrzBxUokEDvzWv0q8WvhL/er0jTGwwmON1iPzv2ho6dgBAQwsByIyBAhAwCcBJjA+dWVUNghgYNnQobMoMLDsalPVyDCwbCm/xZ1/tBVQ4GiY/wUGSneuCGBguZKTwUAAAp4IMIHxpCZjsUYAA8uaIv8/Hgwsu9pUNTIMLFvKY2DZ0qM2mvsmXm87QKJraQIYWC0tH8FDAAKeCWBgeVaXsTWbAAZWsxXo+voYWHa1qWpkGFi2lMfAsqUHBpZtPbxFh4HlTVHGAwEIuCGAgeVGSgZikAAGlkFR/hMSBpZdbaoaGQaWLeUxsGzpgYFlWw9v0WFgeVOU8UAAAm4IYGC5kZKBGCSAgWVQFAwsu6JUPDIMLFsJgIFlSw8MLNt6eIsOA8uboowHAhBwQwADy42UDMQgAQwsg6JgYNkVpeKRYWDZSgAMLFt6YGDZ1sNbdBhY3hRlPBCAgBsCGFhupGQgBglgYAscHbQAACAASURBVBkUBQPLrigVjwwDy1YCYGDZ0gMDy7Ye3qLDwPKmKOOBAATcEMDAciMlAzFIAAPLoCgYWHZFqXhkGFi2EgADy5YeGFi29fAWHQaWN0UZDwQg4IYABpYbKRmIQQIYWAZFwcCyK0rFI8PAspUAGFi29MDAsq2Ht+gwsLwpynggAAE3BDCw3EjJQAwSwMAyKAoGll1RKh4ZBpatBMDAsqUHBpZtPbxFh4HlTVHGAwEIuCGAgeVGSgZikAAGlkFRMLDsilLxyDCwbCUABpYtPTCwbOvhLToMLG+KMh4IQMANAQwsN1IyEIMEMLAMioKBZVeUikeGgWUrATCwbOmBgWVbD2/RYWB5U5TxQAACbghgYLmRkoEYJICBZVAUDCy7olQ8MgwsWwmAgWVLDwws23p4iw4Dy5uijAcCEHBDAAPLjZQMxCABDCyDomBg2RWl4pFhYNlKAAwsW3pgYNnWw1t0GFjeFGU8EICAGwIYWG6kZCAGCWBgGRQFA8uuKBWPDAPLVgJgYNnSAwPLth7eosPA8qYo44EABNwQwMByIyUDMUgAA8ugKBhYdkWpeGQYWLYSAAPLlh4YWLb18BYdBpY3RRkPBCDghgAGlhspGYhBAhhYBkXBwLIrSsUjw8CylQAYWLb0wMCyrYe36DCwvCnKeCAAATcEMLDcSMlADBLAwDIoCgaWXVEqHhkGlq0EwMCypQcGlm09vEWHgeVNUcYDAQi4IYCB5UZKBmKQAAaWQVEwsOyKUvHIMLBsJQAGli09MLBs6+EtOgwsb4oyHghAwA0BDCw3UjIQgwQwsAyKgoFlV5SKR4aBZSsBMLBs6YGBZVsPb9FhYHlTlPFAAAJuCGBguZGSgRgkgIFlUBQMLLuiVDwyDCxbCYCBZUsPDCzbeniLDgPLm6KMBwIQcEMAA8uNlAzEIAEMLIOiYGDZFaXikWFg2UoADCxbemBg2dbDW3QYWN4UZTwQgIAbAhhYbqRkIAYJYGAZFAUDy64oFY8MA8tWAmBg2dIDA8u2Ht6iw8DypijjgQAE3BDAwHIjJQMxSAADy6AoGFh2Ral4ZBhYthIAA8uWHhhYtvXwFh0GljdFGQ8EIOCGAAaWGykZiEECGFgGRcHAsitKxSPDwLKVABhYtvTAwLKth7foMLC8Kcp4IAABNwQwsNxIyUAMEsDAMigKBpZdUSoeGQaWrQTAwLKlBwaWbT28RYeB5U1RxgMBCLghgIHlRkoGYpAABpZBUTCw7IpS8cgwsGwlAAaWLT0wsGzr4S06DCxvijIeCEDADQEMLDdSMhCDBDCwDIqCgWVXlIpHhoFlKwEwsGzpgYFlWw9v0WFgeVOU8UAAAm4IYGC5kZKBGCSAgWVQFAwsu6JUPDIMLFsJgIFlSw8MLNt6eIsOA8uboowHAhBwQwADy42UDMQgAQwsg6JgYNkVpeKRYWDZSgAMLFt6YGDZ1sNbdBhY3hRlPBCAgBsCGFhupGQgBglgYBkUBQPLrigVjwwDy1YCYGDZ0gMDy7Ye3qLDwPKmKOOBAATcEMDAciMlAzFIAAPLoCgYWHZFqXhkGFi2EgADy5YeGFi29fAWHQaWN0UZDwQg4IYABpYbKRmIQQIYWAZFwcCyK0rFI8PAspUAGFi29MDAsq2Ht+gwsLwpynggAAE3BDCw3EjJQAwSwMAyKAoGll1RKh4ZBpatBMDAsqUHBpZtPbxFh4HlTVHGAwEIuCGAgeVGSgZikAAGlkFRMLDsilLxyDCwbCUABpYtPTCwbOvhLToMLG+KMh4IQMANAQwsN1IyEIMEMLAMioKBZVeUikeGgWUrATCwbOmBgWVbD2/RYWB5U5TxQAACbghgYLmRkoEYJICBZVAUDCy7olQ8MgwsWwmAgWVLDwws23p4iw4Dy5uijAcCEHBDAAPLjZQMxCABDCyDomBg2RWl4pFhYNlKAAwsW3pgYNnWw1t0GFjeFGU8EICAGwIYWG6kZCAGCWBgGRQFA8uuKBWPDAPLVgJgYNnSAwPLth7eosPA8qYo44EABNwQwMByIyUDMUgAA8ugKBhYdkWpeGQYWLYSAAPLlh4YWLb18BYdBpY3RRkPBCDghgAGlhspGYhBAhhYBkXBwLIrSsUjw8CylQAYWLb0wMCyrYe36DCwvCnKeCAAATcEMLDcSMlADBLAwDIoCgaWXVEqHhkGlq0EwMCypQcGlm09vEWHgeVNUcYDAQi4IYCB5UZKBmKQAAaWQVEwsOyKUvHIMLBsJQAGli09MLBs6+EtOgwsb4oyHghAwA0BDCw3UjIQgwQwsAyKgoFlV5SKR4aBZSsBMLBs6YGBZVsPb9FhYHlTlPFAAAJuCGBguZGSgRgkgIFlUBQMLLuiVDwyDCxbCYCBZUsPDCzbeniLDgPLm6KMBwIQcEMAA8uNlAzEIAEMLIOiYGDZFaXikWFg2UoADCxbemBg2dbDW3QYWN4UZTwQgIAbAhhYbqRkIAYJYGAZFAUDy64oFY8MA8tWAmBg2dIDA8u2Ht6iw8DypijjgQAE3BDAwHIjJQMxSAADy6AoGFh2Ral4ZBhYthIAA8uWHhhYtvXwFh0GljdFGQ8EIOCGAAaWGykZiEECGFgGRcHAsitKxSPDwLKVABhYtvTAwLKth7foMLC8Kcp4IAABNwQwsNxI6WYgS1esl2t+v0bmLl0nq//dZnpcgwf1kb1G9JMP77uBvGnLvnWxYmDZla9N2mTva4+wG2AvIrtv4vW9OItTWoUABpYtpTCwbOmBgWVbD2/RYWB5U5TxQAACbghgYLmR0sVA1Lz6/MzV8uqa1hrOoA36yIWTB9WZWBhYdnXEwLKrTVUjw8CypTwGli09MLBs6+EtOgwsb4oyHghAwA0BDCw3UroYyFk3vSp3P7S2Jcfy7jf3lzM+OLBD7BhYdqXEwLKrTVUjw8CypTwGli09MLBs6+EtOgwsb4oyHghAwA0BDCw3UroYyCHffdn8Y4NdgdbHCW86aSMMrBbJRAysFhGqQmFiYNkSGwPLlh4YWLb18BYdBpY3RRkPBCDghgAGlhspXQyEGzhbMnq+gcPAspVrRCNC/bOVBZ7rn5Jm/mcr34jGFgEMLFt6EA0EIACBdgJMYEgGSwS4gbOkhojnGzgMLFu5RjQYWNZywHP9w8Cylm3EY40ABpY1RYgHAhCAwH8IYGCRCpYIYGBZUgMDy5Ya9dHwFkLrCuWLj/qXj1fsszGwYhMu1j/1rxg/WndPAAOLDIEABCBglAAGllFhKhoWN3C2hPd8A8cKLFu5RjSswLKWA57rn7Jm/mct44jHEgG3BtY///lP+cMf/iDLli2Tl156SbbffnsZNWpU8v/dHfPmzZOFCxfKypUrZfTo0bLnnnvKkCFDLGlGLBCAQEUIMIGpiNAtMkwMLFtCeb6Bw8CylWtEg4FlLQc81z8MLGvZRjzWCLg0sC699FL50pe+JKtWrarj/dnPflbOOuss2WyzzTr87YUXXpBJkybJrbfeWtfm8ssvl+OOO86adsQDAQg4J4CB5VzgFhseBpYtwTzfwGFg2co1osHAspYDnusfBpa1bCMeawTcGVg//vGPEyNKj2HDhsmECRNk4403ljvuuEMWLVqUfH7ooYfKTTfd1K7F2rVr5aCDDpI5c+Ykn40fP15GjBghs2fPliVLliSfXXLJJTJlyhRr+hEPBCDgmAAGlmNxW3BoGFi2RPN8A4eBZSvXiAYDy1oOeK5/GFjWso14rBFwZWC9/PLLiVmlxz777CO/+MUvZOjQocnv69atky9/+cty/vnnJ7/fcsstiVGlx6xZs+TII49Mfp4+fboce+yxyc+rV6+WiRMnys033yyDBw+WZ599VjbaaCNrGhIPBCDglAAGllNhW3RYGFi2hPN8A4eBZSvXiAYDy1oOeK5/GFjWso14rBFwZWDpCqoxY8YkjO+7775k/6rssWbNGtl8882TRwvPPPNM+eY3v5n8ef/995d7771XRo4cKYsXL+7Q5sknn5Rtt902+WzGjBlyzDHHWNOQeCAAAacEMLCcCtuiw8LAsiWc5xs4DCxbuUY0GFjWcsBz/cPAspZtxGONgCsD6/rrr5dvf/vb8te//lWeeuop6d+/fx3v3XbbLXmUUB8znDlzprzyyiuy4YYbJuede+65csopp9S1OeCAA+See+6RcePGye23325NQ+KBAAScEsDAcipsiw4LA8uWcJ5v4DCwbOUa0WBgWcsBz/UPA8tathGPNQKuDKye4D7//POyxRZbdDCrFixYILvvvnvy2V133dW+givb12mnnSbnnHNOsqfWihUreroMf4cABCAQhAAGVhCMdBKIAAZWIJCBuvF8A4eBFShJ6CYYAepfMJRBOvJc/zCwgqQInTgmUCkD63Of+5z84Ac/SOScO3euvO1tb5M777wz2cBdjwceeEB0hVbtoeaVmlh66Ibv/fr1c5wSDA0CELBCAAPLihLEoQS4gbOVB55v4DCwbOUa0VD/rOWA5/qHgWUt24jHGoHKGFiXXXaZHH/88Qn/T37yk3LppZcmP994443Jmwr10P2uhg8fXqdRtq3un7XJJptY05F4IAABhwQwsByK2sJDwsCyJZ7nGzgMLFu5RjQYWNZywHP9w8Cylm3EY41AJQws3evq6KOPTtiPGDFC5s+fL5tttlnyu+6bdcQRRyQ/P/fcc+2PGGaFuvrqq+Woo45KPlq5cmX7mw2tiUk8EICALwIYWL70bPXRYGDZUtDzDRwGlq1cIxoMLGs54Ln+YWBZyzbisUbAtYHV1tYmZ599tnzlK19JuG+99dbJ2wa32Wabdh2yjxAuX75ctttuuzqNpk2bJieccELyuW76PnDgwFw63n///bnO52QIlElgwNN/lU3nzJYNH/mT9Hn11TIvnfta6zfcSF4Z+WZ58V3j5N9v2Dp3+1Zr8Oml3261kDvE+8Ptp7Z0/ATfkcCXZ+/U0kjOHfdIh/i3OXVKS4/nyXOmtXT83QXfJiJTqH9u9W3FgVH/bKnmuf4paeZ/tvKtytHsscce5obv1sBas2aNTJkyRaZPn55A33XXXeW2226TN7zhDR1EePDBB2XUqFHJZ7oya/To0XUiqQl25plnJp+rKZb3wMDKS4zzyyIw4Om/yJaXfFf6rPl3WZcMcp22AQNlxZQvuTexmMAESRc6CUSAG7hAIAN14/kGDgMrUJLQTTAC1L9gKIN05Ln+YWAFSRE6CUQAAysQyJ660X2q9LHA2bNnJ6eOGzdOrrvuOtl0003rmmbfTKirsQ488MC6c0466SS54IILkscPly1b1tPl+TsEWobAi2edIa/OuaNl4s0GOnDMWNn0jLNaMvbeBs0jhL0lxXllEOARwjIo9/4anh+h4RHC3ucBZ5ZDgPpXDufeXsVz/VMGzP96mwmcV0UC7lZgvfzyyzJ+/HiZM2dOouenP/1pufDCC2WDDTboVN/169e3v1Xw9NNPTx45rD123HFHWbJkiUyaNEl0Py0OCHgh8Pz73yVtq19uyeH0GbypvPbGO1sy9t4GzQSmt6Q4rwwC3MCVQbn31/B8A4eB1fs84MxyCFD/yuHc26t4rn8YWL3NAs6rKgF3BtYXv/hF+f73v5/o+bWvfU2+/vWv96jtiSeemJhcw4YNk6effrrd0NKG+lhhunTuqquuksmTJ/fYHydAoFUI/O09e7dKqJ3GyQTGtnz3TbzedoBEl4sAN3C5cEU/2XP9w8CKnj5cICcB6l9OYJFP91z/MLAiJw/dtzwBVwbWggULZPfdd09E0Q3b0/2vOlNpiy22aN/vaunSpbLDDjskp+nbBrXdgAED5PHHH08eKXzssccSc+uJJ56QQYMGtbzoDAACKQEMLNu5wAos2/pULTpu4Gwp7vkGDgPLVq4RDW8htJYDnusfBpa1bCMeawRcGVgTJ05M9rrqzXHooYfKTTfd1H5qugor/UA3fV+0aFH733UD+IMPPrg3XXMOBFqGAAaWbakwsGzrU7XoMLBsKe75Bg4Dy1auEQ0GlrUc8Fz/MLCsZRvxWCPgysB6y1veIg899FCvGB922GFyww03dDj34osvlqlTp4puAp8eI0eOlIsuukjGjh3bq345CQKtRAADy7ZaGFi29aladBhYthT3fAOHgWUr14gGA8taDniufxhY1rKNeKwRcGVghYDb1tYmy5cvl6eeekqGDx+e/K9fv34huqYPCJgjgIFlTpIOAWFg2danatFhYNlS3PMNHAaWrVwjGgwsaznguf5hYFnLNuKxRgADy5oixAOBEglgYJUIu4FLYWA1AI0m0QhgYEVD21DHnm/gMLAaSgkaRSRA/YsIt4GuPdc/DKwGEoImlSKAgVUpuRksBDoSwMCynREYWLb1qVp03MDZUtzzDRwGlq1cIxpWYFnLAc/1DwPLWrYRjzUCGFjWFCEeCJRIAAOrRNgNXAoDqwFoNIlGAAMrGtqGOvZ8A4eB1VBK0CgiAepfRLgNdO25/mFgNZAQNKkUAQysSsnNYCHQkQAGlu2MwMCyrU/VouMGzpbinm/gMLBs5RrRsALLWg54rn8YWNayjXisEcDAsqYI8UCgRAIYWCXCbuBSGFgNQKNJNAIYWNHQNtSx5xs4DKyGUoJGEQlQ/yLCbaBrz/UPA6uBhKBJpQhgYFVKbgYLgY4EMLBsZwQGlm19qhYdN3C2FPd8A4eBZSvXiIYVWNZywHP9w8Cylm3EY40ABpY1RYgHAiUSwMAqEXYDl8LAagAaTaIRwMCKhrahjj3fwGFgNZQSNIpIgPoXEW4DXXuufxhYDSQETSpFAAOrUnIzWAh0JICBZTsjMLBs61O16LiBs6W45xs4DCxbuUY0rMCylgOe6x8GlrVsIx5rBDCwrClCPBAokQAGVomwG7gUBlYD0GgSjQAGVjS0DXXs+QYOA6uhlKBRRALUv4hwG+jac/3DwGogIWhSKQIYWJWSm8GGILB0xXq55vdrZO7SdbL6320huozWx+BBfWSvEf3kw/tuIG/asm/ddTCwoqEP0jEGVhCMdBKIADdwgUAG6sbzDRwGVqAkoZtgBKh/wVAG6chz/cPACpIidOKYAAaWY3EZWngCal59fuZqeXVN+L5j9jhogz5y4eRBdSYWBlZM6sX7xsAqzpAewhHgBi4cyxA9eb6Bw8AKkSH0EZIA9S8kzeJ9ea5/GFjF84MefBPAwPKtL6MLTOCsm16Vux9aG7jXcrp795v7yxkfHNjhYhhY5bBv9CoYWI2So10MAtzAxaDaeJ+eb+AwsBrPC1rGIUD9i8O10V491z8MrEazgnZVIYCBVRWlGWcQAod892Xzjw12NVB9nPCmkzbCwAqSCeV0goFVDmeu0jsC3MD1jlNZZ3m+gcPAKiuLuE5vCVD/ekuqnPM81z8MrHJyiKu0LgEMrNbVjsibQIAJTBOgd3NJJjC29KiN5r6J19sOkOhyEaD+5cIV/WTP9Q8DK3r6cIGcBKh/OYFFPt1z/cPAipw8dN/yBDCwWl5CBlAmASYwZdLu+VpMYHpm1MwzMLCaST/8tal/4ZkW6dFz/cPAKpIZtI1BgPoXg2rjfXqufxhYjecFLatBAAOrGjozykAEmMAEAhmoGyYwgUBG6gYDKxLYJnVL/WsS+C4u67n+YWDZyjWiEaH+2coCz/UPA8tWrhGNPQIYWPY0ISLDBJjA2BKHCYwtPWqjwcCyrU/e6Kh/eYnFPd9z/cPAips79J6fAPUvP7OYLTzXPwysmJlD3x4IYGB5UJExlEaACUxpqHt1ISYwvcLUtJMwsJqGPsqFqX9RsDbcqef6h4HVcFrQMBIB6l8ksA1267n+YWA1mBQ0qwwBDKzKSM1AQxBgAhOCYrg+mMCEYxmjJwysGFSb1yf1r3nsO7uy5/qHgWUr14iGRwit5YDn+oeBZS3biMcaAQwsa4oQj2kC3MDZkocJjC09aqPBwLKtT97oqH95icU933P9w8CKmzv0np8A9S8/s5gtPNc/DKyYmUPfHghgYHlQkTGURoAJTGmoe3UhJjC9wtS0kzCwmoY+yoWpf1GwNtyp5/qHgdVwWtAwEgHqXySwDXbruf5hYDWYFDSrDAEMrMpIzUBDEGACE4JiuD6YwIRjGaMnDKwYVJvXJ/Wveew7u7Ln+oeBZSvXiIZHCK3lgOf6h4FlLduIxxoBDCxrihCPaQLcwNmShwmMLT1qo8HAsq1P3uiof3mJxT3fc/3DwIqbO/SenwD1Lz+zmC081z8MrJiZQ98eCGBgeVCRMZRGgAlMaah7dSEmML3C1LSTMLCahj7Khal/UbA23Knn+oeB1XBa0DASAepfJLANduu5/mFgNZgUNKsMAQysykjNQEMQYAITgmK4PpjAhGMZoycMrBhUm9cn9a957Du7suf6h4FlK9eIhkcIreWA5/qHgWUt24jHGgEMLGuKEI9pAtzA2ZKHCYwtPWqjwcCyrU/e6Kh/eYnFPd9z/cPAips79J6fAPUvP7OYLTzXPwysmJlD3x4IYGB5UJExlEaACUxpqHt1ISYwvcLUtJMwsJqGPsqFqX9RsDbcqef6h4HVcFrQMBIB6l8ksA1267n+YWA1mBQ0qwwBDKzKSM1AQxBgAhOCYrg+mMCEYxmjJwysGFSb1yf1r3nsO7uy5/qHgWUr14iGRwit5YDn+oeBZS3biMcaAQwsa4oQj2kC3MDZkocJjC09aqPBwLKtT97oqH95icU933P9w8CKmzv0np8A9S8/s5gtPNc/DKyYmUPfHghgYHlQkTGURoAJTGmoe3UhJjC9wtS0kzCwmoY+yoWpf1GwNtyp5/qHgdVwWtAwEgHqXySwDXbruf5hYDWYFDSrDAEMrMpIzUBDEGACE4JiuD6YwIRjGaMnDKwYVJvXJ/Wveew7u7Ln+oeBZSvXiIZHCK3lgOf6h4FlLduIxxoBDCxrihCPaQLcwNmShwmMLT1qo8HAsq1P3uiof3mJxT3fc/3DwIqbO/SenwD1Lz+zmC081z8MrJiZQ98eCGBgeVCRMZRGgAlMaah7dSEmML3C1LSTMLCahj7Khal/UbA23Knn+oeB1XBa0DASAepfJLANduu5/mFgNZgUNKsMAQysykjNQEMQYAITgmK4PpjAhGMZoycMrBhUm9cn9a957Du7suf6h4FlK9eIhkcIreWA5/qHgWUt24jHGgEMLGuKEI9pAtzA2ZKHCYwtPWqjwcCyrU/e6Kh/eYnFPd9z/cPAips79J6fAPUvP7OYLTzXPwysmJlD3x4IYGB5UJExlEaACUxpqHt1ISYwvcLUtJMwsJqGPsqFqX9RsDbcqef6h4HVcFrQMBIB6l8ksA1221n9a1u1UNY/cZ60PX+ryLqXGuy5pGb9h0qfzcdK3+1OkT6b7FZ30b2uPbykQOJchvlfHK70+n8EMLDIBAjkIMAEJgesEk71fAOn+JjAlJBEXKLXBKh/vUZVyome6x8GVikpxEVyEKD+5YBVwqm19a9t1QOy7v53iqx7uYSrB7xEv42l356/rjOxmP8FZExX7ghgYLmTlAHFJMAEJibd/H17voHDwMqfD7SIS4D6F5dv3t491z8MrLzZwPmxCVD/YhPO139t/Vv34MekbcV1+ToxcnafLSdKv11+3CEaDCwj4hCGSQIYWCZlISirBJjA2FLG8w0cBpatXCMaNjG2lgOe6x8GlrVsIx7mf7ZyoLb+rZ0z1P5jg10h7D9U+r/zOQwsWylGNIYJYGAZFofQ7BFgAmNLE883cBhYtnKNaDCwrOWA5/qHgWUt24iH+Z+tHKgzsH61ga0Ac0bT/8A1GFg5mXF6dQlgYFVXe0beAAEmMA1Ai9jE8w0cBlbExKHrhghQ/xrCFq2R5/qHgRUtbei4QQLUvwbBRWqGgRUJbKBu2cQ9EEi66ZQABhaJAYEcBJjA5IBVwqmeb+AwsEpIIC6RiwD1Lxeu6Cd7rn8YWNHThwvkJED9ywks8ukYWJEBF+weA6sgQJp3SwADiwSBQA4CTGBywCrhVM83cBhYJSQQl8hFgPqXC1f0kz3XPwys6OnDBXISoP7lBBb5dAysyIALdo+BVRAgzTGwyAEIhCLABCYUyTD9eL6Bw8AKkyP0Eo4A9S8cyxA9ea5/GFghMoQ+QhKg/oWkWbwvDKziDGP2gIEVky59swKLHIBADgJMYHLAKuFUzzdwGFglJBCXyEWA+pcLV/STPdc/DKzo6cMFchKg/uUEFvl0DKzIgAt2j4FVECDNuyWAgUWCQCAHASYwOWCVcKrnGzgMrBISiEvkIkD9y4Ur+smd1b+2VQtl/RPnSdvKO0TWvBA9hkIX6D9E+mw+Vvpud4r02WS3Dl1hYBUiS+MIBKh/EaAW6BIDqwC8EppiYJUAucKXwMCqsPgMPT8BJjD5mcVsgYEVk27xvpnAFGdoqQfqnyU1RGrrX9uqB2Td/QeIrFttK9Ceoum3sfTb89cdTCwMrJ6g8feyCVD/yibe/fUwsGzpURsN8z/b+rR6dBhYra4g8ZdKgAlMqbh7vBgGVo+ImnoCE5im4g9+cepfcKSFOqytf+se/Ji0rbiuUJ/Natxny4nSb5cft18eA6tZSnDdrghQ/2zlBgaWLT0wsGzr4S06DCxvijKeqASYwETFm7tzDKzcyEptgIFVKu7oF6P+RUec6wJ1N3C/3kJk7T9y9WHm5A1eI/0PWIGBZUYQAqklQP2zlRMYWLb0wMCyrYe36DCwvCnKeKISYAITFW/uzjGwciMrtQEGVqm4o1+M+hcdca4LeL6BYwVWrlTg5BIIUP9KgJzjEp7rn2LY69rDc9CwdyrzP3uaeIoIA8uTmowlOgEmMNER57oABlYuXKWfzASmdORRL0j9i4o3d+e+buD6SP8D/93OAAMrdzrQIDIB6l9kwDm791X/RPofuKYDAQysnAnB6ZUigIFVKbkZbFECTGCKEgzbHgMrLM/Q4+dHmAAAIABJREFUvWFghSba3P6of83lX3t1XzdwGFi2sotoaglQ/2zlhK/6h4FlK7uIxjoBDCzrChGfKQJMYEzJUfcWLlvRFY+Gb+CKM6SHcASof+FYhujJ1w0cBlaInKCPeASof/HYNtKzr/qHgdVIDtCmugQwsKqrPSNvgAATmAagRWzCCqyIcAN0zQqsABANdUH9MySGSJ2Bv/ZXG9gKMFc0GFi5cHFy6QSof6Uj7/aCGFi29KiNhvmfbX1aPToMrFZXkPhLJcAEplTcPV4MA6tHRE09gQlMU/EHvzj1LzjSQh36uoHDwCqUDDSOToD6Fx1xrgv4qn+swMolPidXngAGVuVTAAB5CDCByUMr/rkYWPEZF7kCBlYRevbaUv9saeLrBg4Dy1Z2EU0tAeqfrZzwVf8wsGxlF9FYJ4CBZV0h4jNFgAmMKTnYA8uWHHXRYGAZFyhneNS/nMAin+7rBg4DK3K60H1BAtS/ggADN/dV/zCwAqcH3TkngIHlXGCGF5YAE5iwPIv2xgqsogTjtsfAisu37N6pf2UT7/56vm7gMLBsZRfR1BKg/tnKCV/1DwPLVnYRjXUCGFjWFSI+UwSYwJiSgxVYtuSoiwYDy7hAOcOj/uUEFvl0XzdwGFiR04XuCxKg/hUEGLi5r/qHgRU4PejOOQEMLOcCM7ywBJjAhOVZtDdWYBUlGLc9BlZcvmX3Tv0rm3j31/N1A4eBZSu7iKaWAPXPVk74qn8YWLayi2isE8DAsq4Q8ZkiwATGlByswLIlR100GFjGBcoZHvUvJ7DIp/u6gcPAipwudF+QAPWvIMDAzX3VPwyswOlBd84JYGA5F5jhhSXABCYsz6K9sQKrKMG47TGw4vItu3fqX9nEu7+erxs4DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0VWEUJxm2PgRWXb9m9U//KJt799XzdwGFg2couoqklQP2zlRO+6h8Glq3sIhrrBDCwrCtEfKYIMIExJQcrsGzJURcNBpZxgXKGR/3LCSzy6b5u4DCwIqcL3RckQP0rCDBwc1/1DwMrcHrQnXMCGFjOBWZ4YQkwgQnLs2hvrMAqSjBuewysuHzL7p36Vzbx7q/n6wYOA8tWdhFNLQHqn62c8FX/MLBsZRfRWCeAgWVdIeIzRYAJjCk5WIFlS466aDCwjAuUMzzqX05gkU/3dQOHgRU5Xei+IAHqX0GAgZv7qn8YWIHTg+6cE8DAci4wwwtLgAlMWJ5Fe2MFVlGCcdtjYMXlW3bv1L+yiXd/PV83cBhYtrKLaGoJUP9s5YSv+oeBZSu7iMY6AQws6woRnykCTGBMycEKLFty1EWDgWVcoJzhUf9yAot8uq8bOAysyOlC9wUJUP8KAgzc3Ff9w8AKnB5055wABpZzgRleWAJMYMLyLNobK7CKEozbHgMrLt+ye6f+lU28++v5uoHDwLKVXURTS4D6ZysnfNU/DCxb2UU01glUwsB6/PHHZebMmbLffvvJe97znm41mTdvnixcuFBWrlwpo0ePlj333FOGDBliXUfiK4kAE5iSQPfyMhhYvQTVpNMwsJoEPtJlqX+RwDbYra8bOAysBtOAZiURoP6VBLqXl/FV/zCweik7p0EgIeDewHrppZfk7W9/uyxatEhOOeUUOffcczuV/oUXXpBJkybJrbfeWvf3yy+/XI477jhSBgLCBMZWEmBg2dKjNhoMLNv65I2O+peXWNzzfd3AYWDFzRZ6L0qA+leUYNj2vuofBlbY7KA37wRcG1hr1qyRj3zkI/LTn/400bErA2vt2rVy0EEHyZw5c5Lzxo8fLyNGjJDZs2fLkiVLks8uueQSmTJlivd8YHw9EGACYytFMLBs6YGBZVuPotFR/4oSDNve1w0cBlbY7KC30ASof6GJFuvPV/3DwCqWDbSuGgG3Btb8+fPlmGOOSVZepUdXBtasWbPkyCOPTE6bPn26HHvsscnPq1evlokTJ8rNN98sgwcPlmeffVY22mijquUI480QYAJjKx0wsGzpgYFlW4+i0VH/ihIM297XDRwGVtjsoLfQBKh/oYkW689X/cPAKpYNtK4aAXcGVltbm5xxxhny7W9/u07Lrgys/fffX+69914ZOXKkLF68uEO7J598UrbddtvksxkzZiSmGEd1CTCBsaU9BpYtPTCwbOtRNDrqX1GCYdv7uoHDwAqbHfQWmgD1LzTRYv35qn8YWMWygdZVI+DOwNLHBgcMGJDoOGzYMNHVVV/60pfkvvvu6/QRwldeeUU23HDD5HzdH0tNrtrjgAMOkHvuuUfGjRsnt99+e9VyhPFmCDCBsZUOGFi29MDAsq1H0eiof0UJhm3v6wYOAytsdtBbaALUv9BEi/Xnq/5hYBXLBlpXjYBLA2vzzTeXr371q/KpT30qefRv77337tLAWrBggey+++6J7nfddZeMGTOmLgdOO+00OeeccxJDbMWKFVXLEcaLgWU2BzCwzEqTBMYm7rb1yRsdN3B5icU939cNHAZW3Gyh96IEqH9FCYZt76v+YWCFzQ56807AnYGlgumm7P3792/XrjsD684770w2cNfjgQcekN12261OczWv1MRK++7Xr5/3vGB8XRBgAmMrNTCwbOlRGw0Glm198kZH/ctLLO75vm7gMLDiZgu9FyVA/StKMGx7X/UPAytsdtCbdwIuDaxa0bozsG688UaZMGFC0kT3uxo+fHid5pdddpkcf/zxyeerVq2STTbZxHteMD4MrJbIAQws2zJhYNnWJ2903MDlJRb3fF83cBhYcbOF3osSoP4VJRi2va/6h4EVNjvozTuByhtY119/vRxxxBGJzs8995xsscUWdZpfffXVctRRRyWfr1y5UoYOHZorL+6///5c53OyXQJfnr2T3eB6Edm54x7pcNY2p07pRSu7pzx5zjS7wQWI7NNL619GEaDb0rr44fZTS7sWF4pPgPoXn3GeK9TWv93+sU+e5sbO7SMLh/y+PaY2EZlC/TOmUbXDof7Z0t9X/RNZOGRuB8DM/2zlW5Wj2WOPPcwNv/IGVvYRwuXLl8t2221XJ9K0adPkhBNOSD7XTd8HDhyYS0gMrFy4TJ/MBMaWPBhYtvSojQYDy7Y+eaOj/uUlFvd8XzdwGFhxs4XeixKg/hUlGLa9r/qHgRU2O+gtJAEMrJA0c/TV3SOEDz74oIwaNSrpbf78+TJ69Oi6ns8++2w588wzk8/b2vR7QY6qEmAJuS3lO3uEsG3VQln/xHnS9vytIuteshVwbTT9h0qfzcdK3+1OkT6b1O+/t9e1h9uOv4foeISwpeWrC576Z0tPX4/Q8AihrewimloC1D9bOeGr/vEIoa3sIhrrBCq/Auv5559vf2xQV2MdeOCBdZqddNJJcsEFF8iIESNk2bJl1jUlvogEmMBEhNtA17UTmLZVD8i6+98psu7lBnprYpN+G0u/PX9dZ2JhYDVREy6NgWU8B3zdwGFgGU+3yofH/M9WCviqfxhYtrKLaKwTqLyBtX79eknfKnj66aeLrraqPXbccUdZsmSJTJo0SWbOnGldU+KLSIAJTES4DXRdO4FZ9+DHpG3FdQ301PwmfbacKP12+XGHQDCwmq8LEfx/AtQ/W9ng6wYOA8tWdhFNLQHqn62c8FX/MLBsZRfRWCdQeQNLBTrxxBPlwgsvlGHDhsnTTz/dbmjp3/SxwvTZz6uuukomT55sXVPii0iACUxEuA10XTeBmTPU/mODXY2z/1Dp/87nMLAayAOalEOA+lcO595exdcNHAZWb3XnvOYQoP41h3tXV/VV/zCwbGUX0VgngIElIkuXLpUddtgh0UrfNjh9+nQZMGCAPP7448kjhY899lhibj3xxBMyaNAg65oSX0QCTGAiwm2gayYwDUArsQl7YJUIu4RLUf9KgJzjEr7qHwZWDuk5tQkEqH9NgN7NJX3VPwwsW9lFNNYJYGD9R6F0FVYq2K677iqLFi1q1++2226Tgw8+2LqexBeZABOYyIBzds8EJiewkk/HwCoZeOTLUf8iA87Zva/6h4GVU35OL5kA9a9k4D1czlf9w8CylV1EY51AJQysfffdV+bOnSunnnqqfOc73+lSk4svvlimTp0qq1ataj9n5MiRctFFF8nYsWOta0l8JRBgAlMC5ByXYAKTA1YTTsXAagL0iJek/kWE20DXvuofBlYDKUCTEglQ/0qE3YtL+ap/GFi9kJxTINBOoBIGVh6929raZPny5fLUU0/J8OHDk/+lm7zn6YdzfRJgAmNLVyYwtvSojQYDy7Y+eaOj/uUlFvd8X/UPAytuttB7UQLUv6IEw7b3Vf8wsMJmB715J4CB5V1hxheUABOYoDgLd8YEpjDCqB1gYEXFW3rn1L/SkXd7QV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOYQJjC09aqPBwLKtT97oqH95icU931f9w8CKmy30XpQA9a8owbDtfdU/DKyw2UFv3glgYHlXmPEFJcAEJijOwp0xgSmMMGoHGFhR8ZbeOfWvdOTdXtBX/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQws5wIzvLAEmMCE5Vm0NyYwRQnGbY+BFZdv2b1T/8om3v31fNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0JTFGCcdtjYMXlW3bv1L+yiXd/PV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOViBZUuOumgwsIwLlDM86l9OYJFP93UDh4EVOV3oviAB6l9BgIGb+6p/GFiB04PunBPAwHIuMMMLS4AJTFieRXtjAlOUYNz2GFhx+ZbdO/WvbOLdX89X/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQws5wIzvLAEmMCE5Vm0NyYwRQnGbY+BFZdv2b1T/8om3v31fNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0JTFGCcdtjYMXlW3bv1L+yiXd/PV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOViBZUuOumgwsIwLlDM86l9OYJFP93UDh4EVOV3oviAB6l9BgIGb+6p/GFiB04PunBPAwHIuMMMLS4AJTFieRXtjAlOUYNz2GFhx+ZbdO/WvbOLdX89X/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQws5wIzvLAEmMCE5Vm0NyYwRQnGbY+BFZdv2b1T/8om3v31fNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0JTFGCcdtjYMXlW3bv1L+yiXd/PV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOViBZUuOumgwsIwLlDM86l9OYJFP93UDh4EVOV3oviAB6l9BgIGb+6p/GFiB04PunBPAwHIuMMMLS4AJTFieRXtjAlOUYNz2GFhx+ZbdO/WvbOLdX89X/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQws5wIzvLAEmMCE5Vm0NyYwRQnGbY+BFZdv2b1T/8om3v31fNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0JTFGCcdtjYMXlW3bv1L+yiXd/PV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOViBZUuOumgwsIwLlDM86l9OYJFP93UDh4EVOV3oviAB6l9BgIGb+6p/GFiB04PunBPAwHIuMMMLS4AJTFieRXtjAlOUYNz2GFhx+ZbdO/WvbOLdX89X/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQws5wIzvLAEmMCE5Vm0NyYwRQnGbY+BFZdv2b1T/8om3v31fNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0JTFGCcdtjYMXlW3bv1L+yiXd/PV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOViBZUuOumgwsIwLlDM86l9OYJFP93UDh4EVOV3oviAB6l9BgIGb+6p/GFiB04PunBPAwHIuMMMLS4AJTFieRXtjAlOUYNz2GFhx+ZbdO/WvbOLdX89X/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQws5wIzvLAEmMCE5Vm0NyYwRQnGbY+BFZdv2b1T/8om3v31fNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0JTFGCcdtjYMXlW3bv1L+yiXd/PV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOViBZUuOumgwsIwLlDM86l9OYJFP93UDh4EVOV3oviAB6l9BgIGb+6p/GFiB04PunBPAwHIuMMMLS4AJTFieRXtjAlOUYNz2GFhx+ZbdO/WvbOLdX89X/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQws5wIzvLAEmMCE5Vm0NyYwRQnGbY+BFZdv2b1T/8om3v31fNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0JTFGCcdtjYMXlW3bv1L+yiXd/PV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOViBZUuOumgwsIwLlDM86l9OYJFP93UDh4EVOV3oviAB6l9BgIGb+6p/GFiB04PunBPAwHIuMMMLS4AJTFieRXtjAlOUYNz2GFhx+ZbdO/WvbOLdX89X/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQws5wIzvLAEmMCE5Vm0NyYwRQnGbY+BFZdv2b1T/8om3v31fNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABpZ1hYjPFAEmMKbkYAWWLTnqosHAMi5QzvCofzmBRT7d1w0cBlbkdKH7ggSofwUBBm7uq/5hYAVOD7pzTgADy7nADC8sASYwYXkW7Y0JTFGCcdtjYMXlW3bv1L+yiXd/PV/1DwPLVnYRTS0B6p+tnPBV/zCwbGUX0VgngIFlXSHiM0WACYwpOViBZUuOumgwsIwLlDM86l9OYJFP93UDh4EVOV3oviAB6l9BgIGb+6p/GFiB04PunBPAwHIuMMMLS4AJTFieRXtjAlOUYNz2GFhx+ZbdO/WvbOLdX89X/cPAspVdRFNLgPpnKyd81T8MLFvZRTTWCWBgWVeI+EwRYAJjSg5WYNmSoy4aDCzjAuUMj/qXE1jk033dwGFgRU4Xui9IgPpXEGDg5r7qHwZW4PSgO+cEMLCcC8zwwhJgAhOWZ9HemMAUJRi3PQZWXL5l9079K5t499fzVf8wsGxlF9HUEqD+2coJX/UPA8tWdhGNdQIYWNYVIj5TBJjAmJKDFVi25KiLBgPLuEA5w6P+5QQW+XRfN3AYWJHThe4LEqD+FQQYuLmv+oeBFTg96M45AQysGoHnzZsnCxculJUrV8ro0aNlzz33lCFDhjhPA4bXWwJMYHpLqpzzmMCUw7nRq2BgNUrOZjvqny1dfNU/DCxb2UU0tQSof7Zywlf9w8CylV1EY50ABtZ/FHrhhRdk0qRJcuutt9Zpdvnll8txxx1nXUviK4EAE5gSIOe4BBOYHLCacCoGVhOgR7wk9S8i3Aa69lX/MLAaSAGalEiA+lci7F5cylf9w8DqheScAoF2AhhYIrJ27Vo56KCDZM6cOQmY8ePHy4gRI2T27NmyZMmS5LNLLrlEpkyZQupUnAATGFsJwATGlh610WBg2dYnb3TUv7zE4p7vq/5hYMXNFnovSoD6V5Rg2Pa+6h8GVtjsoDfvBDCwRGTWrFly5JFHJlpPnz5djj322OTn1atXy8SJE+Xmm2+WwYMHy7PPPisbbbSR95xgfN0QYAJjKz2YwNjSAwPLth5Fo6P+FSUYtr2v+oeBFTY76C00AepfaKLF+vNV/zCwimUDratGAANLRPbff3+59957ZeTIkbJ48eIOOfDkk0/Ktttum3w2Y8YMOeaYY6qWI4w3Q4AJjK10YAJjSw8MLNt6FI2O+leUYNj2vuofBlbY7KC30ASof6GJFuvPV/3DwCqWDbSuGoHKG1ivvPKKbLjhhonu5557rpxyyil1OXDAAQfIPffcI+PGjZPbb7+9ajnCeDGwzOYAExiz0iSB8QihbX3yRscadScpAAAgAElEQVQNXF5icc/3Vf8wsOJmC70XJUD9K0owbHtf9Q8DK2x20Jt3ApU3sBYsWCC77757ovNdd90lY8aMqdP8tNNOk3POOUeGDRsmK1as8J4TjK8bAkxgbKUHExhbetRGg4FlW5+80VH/8hKLe76v+oeBFTdb6L0oAepfUYJh2/uqfxhYYbOD3rwTqLyBdeeddyYbuOvxwAMPyG677VanuZpXamLpoRu+9+vXz3teML4uCDCBsZUaTGBs6YGBZVuPotFR/4oSDNveV/3DwAqbHfQWmgD1LzTRYv35qn8YWMWygdZVI1B5A+vGG2+UCRMmJLrrflfDhw+vy4HLLrtMjj/++OTzVatWySabbFK1PGG8/yHABMZWKjCBsaUHBpZtPYpGR/0rSjBse1/1DwMrbHbQW2gC1L/QRIv156v+YWAVywZaV41A5Q2s66+/Xo444ohE9+eee0622GKLuhy4+uqr5aijjko+X7lypQwdOrRqecJ4MbBM5gATGJOytAfFI4S29ckbHTdweYnFPd9z/WuTNtn72v+bm7XqQf1rVeU6j5v6Z0tPz/VPSe917eG2gOeMhvqXExin5yJQeQMr+wjh8uXLZbvttqsDOG3aNDnhhBOSz3XT94EDB+aCvOeee+Y6n5MhAAEIQAACEIAABCAAAQhAAAIQgECzCMybN69Zl+7yupU3sB588EEZNWpUAmj+/PkyevToOlhnn322nHnmmcnnbW1tuUXEwMqNjAYQgAAEIAABCEAAAhCAAAQgAAEINIkABlaTwHd32eeff779sUFdjXXggQfWnX7SSSfJBRdcICNGjJBly5YZHAUhQQACEIAABCAAAQhAAAIQgAAEIAABvwQqvwJr/fr17W8VPP3000VXW9UeO+64oyxZskQmTZokM2fO9JsNjAwCEIAABCAAAQhAAAIQgAAEIAABCBgkUHkDSzU58cQT5cILL5Rhw4bJ008/3W5o6d/0scI99tgjke6qq66SyZMnG5SRkCAAAQhAAAIQgAAEIAABCEAAAhCAgF8CGFgisnTpUtlhhx0SlfVtg9OnT5cBAwbI448/njxS+NhjjyXm1hNPPCGDBg3ymw2MDAIQgAAEIAABCEAAAhCAAAQgAAEIGCSAgfUfUdJVWKlGu+66qyxatKhdsttuu00OPvhggxISEgQgAAEIQAACEIAABCAAAQhAAAIQ8E0AAyuj78UXXyxTp06VVatWtX86cuRIueiii2Ts2LG+M4HRQQACEIAABCAAAQhAAAIQgAAEIAABowQwsGqEaWtrk+XLl8tTTz0lw4cPT/7Xr18/o/IRFgQgAAEIQAACEIAABCAAAQhAAAIQ8E8AA8u/xowQAhCAAAQgAAEIQAACEIAABCAAAQi0NAEMrJaWj+AhAAEIQAACEIAABCAAAQhAAAIQgIB/AhhY/jVmhBCAAAQgAAEIQAACEIAABCAAAQhAoKUJYGC1tHwEDwEIQAACEIAABCAAAQhAAAIQgAAE/BPAwPKvMSOEAAQgAAEIQAACEIAABCAAAQhAAAItTQADq6XlI3gIxCGwaNEiefjhh+Xxxx+XzTffXEaOHCl77bWXbLjhhl1ecO3atXLXXXfJo48+Kvo2Tz3/rW99qwwcOLDbIOfNmycLFy6UlStXyujRo2XPPfeUIUOG1LX517/+JVdeeWXy+bvf/W7Zeeedu+z3d7/7nSxYsCD5+wYbbCDHH3+8PPHEE3LLLbckn+nv+jkHBCAAgVoCWr/+8Ic/JDXwueeekxEjRiS1afvtt+8Wlr7BWGvPX/7yl6Rmvu1tb5Otttqq2zb/+Mc/5O6775Zly5bJa1/72qTNjjvuKH379q1rN2fOHPnzn/8sG2+8sXz84x/vst/Vq1fLVVddJevWrUvO2X///WW33XaTWbNmJePRsey3334IDwEIQKAwgX/+859JvdQa9tJLLyV1ctSoUZ3WSz3n9ttvb7/mO9/5Ttlll126jeHll1+WK664ov2c97///bLNNtskv1PTCstHBxBoSQIYWC0pG0FDIA4BNaw+//nPy80331x3Ab2JmzZtmowdO7bub2p4HXHEEbJkyZIOfxs8eLD86le/Ssys2uOFF16QSZMmya233lr3t8svv1yOO+64Dp/rTWE6aZk+fboce+yxnULQydF73/ve9r/deOON8sEPflBuu+02ed/73pd8rjeNm222WRyI9AoBCLQsgaVLlya15Z577qkbwxe/+EU566yzZKONNurwNzW8pk6dKuecc05dG61jP/zhD6V///51f7v22mvlk5/8pKxatarD33bffffkJm+LLbbo8PmUKVOSvoYNGyYrVqzolLGaVx/60IeSeqfHu971rqSeb7LJJrLHHnvI/Pnz5dRTT5XvfOc7LasRgUMAAjYIXHrppfKlL32proZpdJ/97GeTepmda/30pz+Vww8/vD34o48+uv2Lya5GdMMNNyQ1LT1+8YtftM/xqGk28oAoIFA2AQyssolzPQgYJaDfcqnR9NBDDyURHnTQQaI3Uk8//bT86Ec/ao/6j3/8YwdD6qmnnkrO02/29VBTasCAAXLddde1T2rmzp2brCxID12tpf3rigI9xo8fn6xymD17drsJdskll4jesKVHbwysWvMqO9HBwDKaeIQFASMEtAbq6qTUiNeapAaQfsufmkwnnHCCXHzxxR0i/vrXvy7/9V//lXymtVBXFejK0tQEU3Nf62H2+OUvfynjxo1LPtp6663lAx/4QGJK6Q2eHrqCS1dz6QrY9OjJwFLz6rDDDkvqqB7av978pYYbN3tGEo0wIOCAwI9//ONkvqeHmuoTJkxIVofecccdol9q6nHooYfKTTfd1D7aWgNL/6B1t7vV/UceeWRSg9MDA8tB8jAECBQkgIFVECDNIeCFwLe//W05/fTTk+H87//+r3z4wx9uH9rixYsT00pv4vQG7f7772//2+c+9zn5wQ9+ILra6te//nVyA6iHPrKnj/o99thjyY1Udtm4TkZ0UqJHdjWV3oBNnDgxWTGg/T377LPtN189GVi15tWdd94pBx54YHucGFheMpVxQCAOAV3dlJrmF154YbKCoE+fPskNlq5M1Vqlhz5auNNOOyU/Z+uSPtZ32WWXta+2Ovvss+XMM89Mzvv9738v++yzT/Lz+vXrk0eg1Sjbddddk0evU6NK65aa+3roiq4vf/nL7YPtzsCqNa/0xvGaa66RQYMGtbfHwIqTN/QKgaoR0JqoZpUeWtfUVBo6dGjyuz66rHXr/PPPT37XrRv0S0o9OjOwdL53yCGHdIrwxRdfrFstj4FVtWxjvBCoJ4CBRVZAAAIJgQMOOCBZMaD7C/z85z+vo6ImlZpVeuikQg0m3e9A/18Pvdm76KKLOrRTI+yjH/1o8pnerO2www7Jz7ony7333pusMlBzLHs8+eSTsu222yYfzZgxQ4455pjk5+4MrKw5pef+5je/kXe84x0d+sXAItEhAIHuCHziE59ITCqtaboaKrsq4JlnnpE3vOENSXNdefCxj30s+VlXXukKLD10NWp6jv6ujxbqfjBq4utKhZkzZybnqWGVmutq5mcfqdG/f+pTnxJ9NEdXZum+Wunjh10ZWLXmla740hh1JWz2wMAi/yEAgRAEdPX8mDFjkq7uu+++ZO/S7LFmzZrElNcvPdXE/+Y3v5n8OWtgaX3761//2qE21saWnUOmf8PACqEgfUCgtQlgYLW2fkQPgSAE9EZL943SDdjViNK9XmoP/ZZMH3PR45FHHkk2GlbDS40vPbIrDNK2OnnZdNNNk1/T1QSvvPJK+43hueeeK6ecckrdtVIzLbtyqysDK2tM6Y2nLl/PPq6Ydp49T1eHXXDBBaKP8egjk29/+9vlPe95T/KtYXZ/G41VV6Lpigm9odQbUP02UcetS+Z1PzDdT6azTUi1bzX9dDN5naS9+c1vTs6bPHly+7eRQcSjEwhAIAiB1CDSOqKPRGdXL/3pT39KVkvpoY9UH3XUUcnPakSpIaX1U2+sao9vfOMb8rWvfS35WG/q1IxKV2bVrjJN2+qm7rp6tbaudmZg6UoIfXQnfWxQjTI1/jvbcytrYKnBr49C/va3v01WOGjN1Zdb6OOP2UONMH38UWuxtvnud7+bbDqvNU1X4+oeX7qPV+1LMV599dVkNZquAtPHifS/BbqKVxmefPLJ3b6EI4iYdAIBCEQjcP3114uu2tc6oMZ9Z/VGXxyh//az5n3WwNIV/9/61reSGLt6jFDnnDr3/PSnP53s/6dHVwZWb2uazsm0Jr/uda9L9gLULyHUkNNY9bFx/QJAa1TtHoTUtGjpRMcQyE0AAys3MhpAoJoETjvttPZNitMbMV1xpY/W6KFmT2dvHExvmtJJjE4e9MZHD73xS7/Fy1JNr5XdrLgzA6vWvMo+wlirUvZc7Tfdsyt7nppMuqn8dtttl3ycXWGmMesGyLWH3oTq59k3lGUfReosW9S0U/OOAwIQsEMga9LrW/zUbNZDDX69gVITWw99tHnLLbdMftZHDPXQm6CvfvWrdYPRepI+HpOuQtWXSvzsZz9LDCFdLVp76Esm0sdxsqtQaw2sWvNKjSR90Ua/fv06hZrWYq1ZtRvHpw3OO++8ZFPm9DjjjDOSm0xdLaFvG+usna7M1Ucu00MNf633P/nJT7oUV2+Asxsz28kCIoEABIoSeP7559sNoOwXlVkDS/cJTFdu6ap/Xf2fPf7+978nb2bVQ+eKqanfmYGVp6Zl9x/UOV+672v22jrfU3M/XYVLTSuaEbSHQFgCGFhhedIbBFwS0LcTvvGNb0zGll1poN9i6QoDPfQmr7Pj4IMPTlYH6ORD30iY3ePlgQceSF7vXnvoai01sfTQDd/1hqzWwHr961/f/lZBPU/35UqNsc7iqH3MUDc71tiHDBmS3GjpSio9spuOZg0s/ZtOdnRFwlve8pZkxZnu46VGmH6ur5HWN31l94bQvnTFgi6l17/ruNKN63U8elPIAQEI2CCg/3Z1xWX6FlZdmakmk65A0scA9VCTKt2wPftvXVdbfuYzn6kbiG7Erv3ooSs39fHp9BFqrUG6yXrtoTdLqQmlq7XSvQmzBpY+WphdeaU3f7pZct++fbuEmRpYeoLe8Kkhp5vUa33XxxbTjZeztTQ1sNJO9WZUjTL9EkPfMJYaV1nDL7uCTFnpyi7974N+wXDiiScmNVNXOugbH1MD0EYGEAUEIBCCQLo3qvaVfYlP1sDSFwTpSlY1p7KrtNLrX3HFFckbYbVG6Zup0y8JOzOw8tS0rIGl7bTmq3GvXxrom2HTN2DrnoYagx7UtBBZQR8QCEcAAyscS3qCgEsCK1euTG7i0m+psntZ6aOG3//+95ObkWXLlnU6ft0rRg0ifXxE32B44403Jjdeeuh+V8OHD69rp4+e6E2PHvqNvxpDWQNLNwTVlQ3ZQ19jny5H7yyQrIGlmyTrpu/Zmz29MUtNLP1mUG/2sgaW3vDpo4fpygi9ht7wpQacctCbs+wN68KFC9sfO9Lz9YZN9wHTFWC6SktvYDkgAAE7BNRo0ceJ9aaq9lDDRg2d9FAjJl2JVfvii/Qc3fBdDW491MjXx47VANd6qqu6dMVUZ4c+eq21T80rNbH0SA0s/Vkf6UsfG9TftT5pn92Z4lkDq3afQN3XUNvqNbP7IGYNLN3HJt2UPo05+4aw9MsGfSxH67HGpKvJsnU2fXOZ/jdDv8xIvxixkwFEAgEIFCGQnb+p2Z2uXNU+aw0sNaN070E9/vWvf3XYwkFrpW4Joe31C9CeDKze1rSsgaX9ah3KGulak/Vts3qkZj41rUhG0BYC4QlgYIVnSo8QcENAl4G/733vSzbp1EP3TEn/w66/p9+ydbYZewpBjSid0OjeJ2ro6KMjuseAHnoDWLvPgH5+9dVXt+8xowaamkZZAyvtO71Z030Y9EhvEDsTIGtg6Qby++23X4fTsvt1fe9735OTTjqpg4HV2c2bdqCPB6mZln6DqPtBpHHp5EhNNV0mn66o0Ju8zvaLcJM0DAQCLUpADXWtb6k5rt/8679lNd7VuNdD64CuDtV/w9mN3fXGLDXms8NX0zt9JDl925buH6j96ePX//3f/90pLTX2ta5lHzfOGlhpI40xXdWpXzSo8dZVfUkNLDXw9Sau9lCD7itf+Urysb5JTI2nrIGljxCmexqmbfW/DXvvvXfya/rlhq5iSN9iq2PU/06kN59qEGrf1MAW/UdC2BDohoDuE3r00UcnZ6hJrdsr6B576VFrYGkd0C/09NDHqtN9VrO1VeeJarB3Z2DlqWlZA0tXhab7uKYx6nYYGpPOCdNHuKlppD0EbBHAwLKlB9FAwAwBXVGl34Clj850ZuCkjxDqTZ4aTJ0d6Tf06X4v2UcI9TGY9OYu2zb7DVi6t1atgaWTI71x+9vf/pasltJDv/HXmyjdnLP2yBpYtd/0peemN3jpyojsCiz9JlBXZtQeKYOsiZc+Npmeq3HpvjdqBurf9LFFDghAwA4BfWxv9OjRyapK/feq9SJ99E//pvv9feELX0gCVgNLNzDOPkKY3dg9O6rs5u/pnn/pI4T6qIo+GtPZka7Ayu6tVWtgaQwaS3YVVFd7cek10vqmNSt9c2L22tn9utLVsamBpSx0T5jaI8sgNfF07xpddZbdZ1DrdVoDdfyd7ZdoJxuIBAIQyENAjWldKZoa4Don1C8Kt9lmmw7d1BpY6VYQWm+zjxGmc0Bdba8vztH5aHcGVp6aljWwupoLpjU6/ZKBmpYnGzgXAvEJYGDFZ8wVINByBHS/Jv1GK92wt6v9XbKblXe1B1b6lq70sZQHH3xQRo0alTDRb+f0prH2SN/SpZ+n/WYNLDWLdE+C9JX12T2zNG6dDNVuZJw1sLqKNV1NlU6asgZW7eOAacy6Kk3f3KhHumpBTTd9nDC7dD47Rl2Orm88ZP+XlvunQcBOCegqq/TtpWoqpfugZIerN1j6CJwe6YssUqNJDa60DmTbZN/Umj6aPHHixGRfra72wNJVmulb/fRtqalxljWw0lWieq3amys19mvfJqjnpQZWV/U8u5pKeehj36mBpRuu6+rZzo60jmldSx/D1nr9kY98JLmJrT3UINTxq5nPAQEItDYBrYVam6ZPn54MRFfb63wrnZ9lR9eZgXXllVfKMccck5yWGkqpgaT1Vreh6MnAylPTsgZWV3PBww8/PHncsfZN2NS01s5VovdDAAPLj5aMBAJBCOjbYHTz8fTQjYGzv2cvoku+9Vt1PVavXt3htfPpebX7vWTfTqOrsdTgqj308T29ccvurdXZWwjTdnrDp4/r6c2iHunKhGy/vTGw9t1332TD0c5WYGU3Is32qysedDVDZ49R6lh1jLrflm7WnH2DV/bNPEGEoxMIQKBhAtdcc01iuOjR1crQWbNmJaud9NBHA3V1QVrftAboKoDaQ+tnutdd+uKGtL51tapJV5Wmj9Vk99ZKDSw1gPSRmuyRXdmqbfWLgtrHs1MD6/zzzxfdv7D2yN7YpbGmBlb25R3ZdmrWp2/qUj5645c9lKX2q6u70s3x07/rizD22WefhjWjIQQg0FwCOqfRLSHS/fjU8FFzuvZR4zTKzgws3SZCX3Sjh84pdV/RdGV++thyTwZWnpqWrXPpl461FFMDTb+U0C8nqGnNzTOuDoFaAhhY5AQEINBOIGte6U2QLt3Wb+G7OnQFVfr4Xmf7T+lbZrbaaqukebqXQPYNW9kNirPXSPeIyS4p787A0rb6Ji395i81iWr3ucoaWLpPVe23g2qCveY1r0na65sDTz755A57YHW1SXO6mkL3fdBvEv/9738nN8C6eXG6okPj04mSbjKavgo63dSe9IMABJpPIPv4XFdvR83ug/Lss88mG7irga83XV39e073CdR6umLFimSguu9Vuqoq3eMvSyBrlGVfmpF9C2HaV7ZdaozpZ7qKVOt5dgP11MDSfb505Wjt0dlq0tTA6upFHX/+859ll112Sbp69NFHk8d8dOWq/rzRRhuJ1vL00C85dHWbPpajR1f1v/nZQAQQgEBPBPTxYa0z6R58+sWfvpU0XT3aWfvODCw9T/e+UoNb53z6Nmk12PXLAq25evRkYOWpaZ0Z9dlYs3NBfQuhvo2QmtZTNvB3CJRLAAOrXN5cDQJmCeieJ9tuu20Sn+5foJOSN73pTd3Gq8uv9eZF337V2WuQszdq6c2NdqiP1+lER2/q1OTKPu6XNcWyr2bvycDSftM3XKVj0P1s0rcGZg2szlY/ZTcfTR/ByT5C2NlqiewGzekjROmeWBqD7h9W+5atdL+a7vYNM5skBAYBpwSy/5a72k8lfawka0bpykp9vE6PrNmkv7/66qvJKig1xbOvZO/M2M9iTU0xrRFal9NH9HoysNQg0hdGpG+MrV2VkBpYuoJLN4jPrpLQx4B22mmnpGbpxvD6iLYe2U3cO9sHUG8c0zcppqsZ0tULuipVDa7shu36BYbuAahMutsDzGmaMSwIuCGQvoVaB9RVzawdbFcGVvbFPbp/ntYwfWN1usK/JwMrT03LGlhf/epXRVfRZ4/sFxXpNhfUNDdpy0CcEMDAciIkw4BAUQLpzZn2o3uZdLY3VXoNfYPfJptskvyqmxdPnjw5+Tn7lsLsIy21+6csXbpUdthhh6TNUUcdleydMGDAgGQVlT5SqDdRepOoN5WDBg1KzuuNgaXn6WNA+jiQHvrojk6Y9AYwa2Dp33SVg8alf9ObNX1MUm+qsnseZA0sbaP7u+ibuvSGTFdxaf+6b4zGqqs2dENSfdRQH0VMr69mma5K0G/19JGZ9I033b2BrKiWtIcABPIRUDNeVxNondDjkksuSV7vrqsJdFWl7sv3jW98I/lb9oUW+u9aTWo1hPTGS+ue1gFdnfDRj340WZ2lR+0eemre6KpUvfHSR4y1pmoMup/f1KlTkza1+7r0ZGCl13nrW9/aPnitT2pq6ZEaWPqzvlRDY1ODX2PV193/5Cc/Sc7Lrl7NGlhqqOlr79M9DLN7ICofXVGlx3nnnZfs8aeHMtO4X/va1yb72+gq1XSvsK7e3JhPOc6GAATKJrBgwYJkpZQeWhfS/a86i0NN/HQ+2ZWBpSvW0y8b0z6yG6z3ZGDlqWlZA0vb6SOP6Zuxtfbp49LpXFCfQtD5HjWt7AzjehDongAGFhkCAQhI9k1ZvcFx//33t09edJWB3nzpN1V6qJmj5lb69kL9XW+iat9Gk67CSq+nj//piqn00BvJ7Ca/vTWwXnjhhWQlQfoGrNRUqzWwOotVbyZ1A/udd945CaPWwNLP9By9Yc3Gmn3kSG9C9XFCNfbSQx+/0X1t0scblYmu8kqv0xvmnAMBCMQloCuj9EYr+/Y8fTTwkUceaf+3qysx9d9udlVR9pE/jbC2lumbuVLzKx3B4sWLk8cO05qgq5X0Ji69tj5qrGZR9m19vTGwtH9deaWPQOuRfZV91sDqqu7qI4+6OjY9sgZW+pkadbq/Xxqrrr7V1bLpSjHdt2bvvfdOVqRl26Qrw/QzHbu+lTH9IiSusvQOAQiEJJBundCbPvXLQd0LUI+uDCz924QJE5JVV3pkV6zq770xsHpb02oNLG2nJpw+8pzWLK1xv/vd72SzzTZLuqWm9UZpzoFAeQQwsMpjzZUgYJZAdgPj3gRZ+/ZA/QZf93S57LLLOjTX1Uz6GGF2H5TsCWou6WqD7ObmeiOnj+ONHTu2Q1+64kknGXqk+xJ0FauuqEr3mtJz9PFFXfWl36ypeaRv09IVZ9kbVf2b7s+S3Rsra2DppvK6tFxXWKWHTnJ0lcSYMWM6hKKP8ug3drqXVnZsepK+jfF//ud/klUaHBCAgC0CuieV1qTO3iCqqym1znW2x4vub6dv0kqNex2Vmt26WktXW3b2xlF9PFBXoKYvn0hJ6AolXemZ3jyln6eP62UfYeyMnj7Kp/VTDSI9dHWVjkdNJf0yQVdOaR3T1VDpobFqrU7fBpZ+nhpYasqpMZ8aY9mY9I2I6UrZ9HNdkaYrVtNVXdnr6DV0pVltG1uZQDQQgEBXBNKXV/SGUPZtq2pQqVGlR7qPYNpH9ouA2j1VdV9RNeP1yP6tkZqWNbB07qv1uXYuqCtw043kqWm9UZlzIFAuAQyscnlzNQi4JqD7qDz88MPJyiWdbLzuda/rcby6YkknJ2pQDR8+PPlfdk+sHjsocII+sqibIes+XhtvvHFdT1kDSzcYPeSQQ5KVB/otnY5NV2J1dmOadqSPHumqDv2fvmVHHyUsa2wFsNAUApUnoLVMzSi9sdG9AdU8z26I3hUgPV9XV+kjc1ofemPSaJ3Rtwbqaiutm7XGVSwx9IsHvW4aa2e1LGtg6WOQ+sikrqRSPvoYeFdvG0tj1mvoFwi6gkHHln4JEWtM9AsBCFSXQG9qWtbASl+ioXPQZ555plfzVmpadfOLkdshgIFlRwsigQAEjBHozMAyFiLhQAACEIhGoNbAinYhOoYABCBQAoHODKwSLsslIACBgAQwsALCpCsIQMAXAQwsX3oyGghAIB8BDKx8vDgbAhCwTQADy7Y+RAeB3hDAwOoNJc6BAAQqSQADq5KyM2gIQOA/BDCwSAUIQMATAQwsT2oylqoSwMCqqvKMGwIQ6JHAK6+8IuPHj0/O09fE77PPPj224QQIQAACXgjMmDFDrr76atGXa0ybNs3LsBgHBCBQUQLz5s1LXjChx89//vNO9z+tKBqGDYGWIYCB1TJSESgEIAABCEAAAhCAAAQgAAEIQAACEKgmAQysaurOqCEAAQhAAAIQgAAEIAABCEAAAhCAQMsQwMBqGakIFAIQgAAEIAABCEAAAhCAAAQgAAEIVJMABlY1dWfUEIAABCAAAQhAAAIQgAAEIAABCECgZQhgYLWMVAQKAXc7yowAABL1SURBVAhAAAIQgAAEIAABCEAAAhCAAASqSQADq5q6M2oIQAACEIAABCAAAQhAAAIQgAAEINAyBDCwWkYqAoUABCAAAQhAAAIQgAAEIAABCEAAAtUkgIFVTd0ZNQQgAAEIQAACEIAABCAAAQhAAAIQaBkCGFgtIxWBQgACEIAABCAAAQhAAAIQgAAEIACBahLAwKqm7owaAhCAAAQgAAEIQAACEIAABCAAAQi0DAEMrJaRikAhAAEIQAACEIAABCAAAQhAAAIQgEA1CWBgVVN3Rg0BCEAAAhCAAAQgAAEIQAACEIAABFqGAAZWy0hFoBCAAAQgAAEIQAACEIAABCAAAQhAoJoEMLCqqTujhgAEIAABCEAAAhCAAAQgAAEIQAACLUMAA6tlpCJQCEAAAhCAAAQgAAEIQAACEIAABCBQTQIYWNXUnVFDAAIQgAAEIAABCEAAAhCAAAQgAIGWIYCB1TJSESgEIAABCEAAAhCAAAQgAAEIQAACEKgmAQysaurOqCEAAQhAAAIQgAAEIAABCEAAAhCAQMsQwMBqGakIFAIQgAAEIAABCEAAAhCAAAQgAAEIVJMABlY1dWfUEIAABCAAAQhAAAIQgAAEIAABCECgZQhgYLWMVAQKAQhAAAIQgAAEIAABCEAAAhCAAASqSQADq5q6M2oIQAACEIAABCAAAQhAAAIQgAAEINAyBDCwWkYqAoUABCAAAQhAAAIQgAAEIAABCEAAAtUkgIFVTd0ZNQQgAAEIQAACEIAABCAAAQhAAAIQaBkCGFgtIxWBQgACEIAABCAAAQhAAAIQgAAEIACBahLAwKqm7owaAhCAAAQgAAEIQAACEIAABCAAAQi0DAEMrJaRikAhAAEIQAACEIAABCAAAQhAAAIQgEA1CWBgVVN3Rg0BCEAAAhCAAAQgAAEIQAACEIAABFqGAAZWy0hFoBCAAAQgAAEIQAACEIAABCAAAQhAoJoEMLCqqTujhgAEIAABCEAAAhCAAAQgAAEIQAACLUMAA6tlpCJQCEAAAhCAAAQgAAEIQAACEIAABCBQTQIYWNXUnVFDAAIQgAAEIAABCEAAAhCAAAQgAIGWIYCB1TJSESgEIAABCEAAAhCAAAQgAAEIQAACEKgmAQysaurOqCEAAQhAAAIQgAAEIAABCEAAAhCAQMsQwMBqGakIFAIQgAAEIAABCEAAAhCAAAQgAAEIVJMABlY1dWfUEIAABCAAAQhAAAIQgAAEIAABCECgZQhgYLWMVAQKAQhAAAIQgAAEIAABCEAAAhCAAASqSQADq5q6M2oIQAACEIAABAIT+OMf/yi33367LF++XJ555hl5/etfL2984xvlve99r+y1116dXu2HP/yhrFu3Trbccks5/PDDexXRLbfcIk888YRsvPHG8vGPf7zTNg8//LDoeU8++aT85S9/kU033VR22203GTVqlOyxxx6y+eab9+paetKMGTNk9erV0rdvX/nUpz6V/D8HBCAAAQhAAAIQKJsABlbZxLkeBCAAAQhAAAKuCCxYsEA+8YlPyPz587sclxpYl112WWIiZY8DDzxQ7rrrruSjF154QYYMGdItm5dfflle97rXyapVq+TII4+Ua6+9tsP5f/7zn5NY5s6d22U/gwcPliuvvFImTJjQow4PPvhgYnqlxx133CHvec97emzHCRCAAAQgAAEIQCA0AQys0ETpDwIQgAAEIACByhCYNWtWYiSlx9Zbby377befvPnNb5YVK1bIzTffLH/961/b/37DDTfIYYcd1v77NddcIx/5yEeS36+44oouV1SlDbLXqzWTbrrppg59q1G1//77y6677ir/+te/5A9/+IPcd9997df+whe+IBdccEG3Wn35y1+W8847r/2cI444Qq677rrK6MtAIQABCEAAAhCwQwADy44WRAIBCEAAAhCAQAsRWLx4sey0007tEX/ve9+TE088Ufr169f+2dq1a+Xiiy8WNYvS45FHHpEdd9wx+TW7ourd7363/OpXv+qWwPve9z657bbbRI2yxx9/vP1ay5Ytk+2337697dlnny1qPvXv379Df7pKTE2oxx57LPl80aJFHVZYZU9+9dVXZYsttkhWe40fP15uvfXW5M9qyG211VYtpBShQgACEIAABCDggQAGlgcVGQMEIAABCEAAAqUTOOCAA+See+5JrtvTo3VnnHGGfOtb30rOffvb3y6//e1v2+P9/Oc/LxdddFHyu+5XpeZUZ8fTTz/dbhydddZZon2mx9ixY5MY9NC9r9Rw6urQlWH6GKIeuoeWrvzq7Miu6FLDa8SIEclp3/zmN+XMM88snTcXhAAEIAABCECg2gQwsKqtP6OHAAQgAAEIQKABArqKauedd05adrYXVW2X69evTzZpv/HGG5M/6V5V+pihHroqSjdW1+P888+XL37xi51GpH87+eSTk7/p5uzDhw9PflZz6U1velPy86RJk2TmzJk9jkiv8f3vf1901dfs2bPrVmppB4ccckiy6kr379IN6idPniw/+tGPZNiwYfLUU0912qbHC3MCBCAAAQhAAAIQaJAABlaD4GgGAQhAAAIQgEB1CegjeukqpIULFyb7TPV0/PznP5dDDz00Oa12FZNu7q6P82k/2l9nhz52uGTJkmR1la6ySg/do0ofF9RDzShdjdXToY8FtrW1JW8n7OxQgypdCab7ZOkjkProoj7CqMfPfvYz+cAHPtDTZfg7BCAAAQhAAAIQCEYAAysYSjqCAAQgAAEIQKAqBHTjdd2AXY9XXnlFBg4c2OPQdc+qN77xjcl5H/3oR+Xqq69ubzNt2jQ54YQTkt//9Kc/yS677NKhv3nz5iUrofTQVVwf/OAH2//+sY99TH7yk58kv+tjhq9//et7jKWnE84991w59dRTO/Sp+3np3lfPPfecjBs3Tm6//faeuuHvEIAABCAAAQhAIBgBDKxgKOkIAhCAAAQgAIGqENC3+917773JKiXdt6o3h6542myzzZJN0Wv3wVq5cqVsvvnmSTe6sktXaGWP9JE/fbPg888/LwMGDGj/c7oXlz7ap/tb1R76+OKaNWuSjzWG7P/rzxtuuGGHJnqObgivjya+//3vF105lh5Tp06V73znO8mvjz76aIeN43vDgHMgAAEIQAACEIBAowQwsBolRzsIQAACEIAABCpLoDeP/HUG5y1veYs89NBDsvvuu8v999/f4ZTsHlPPPPOM9O3bN/l79m2AaiClm8GnjdM+R44cKfpmxNpj7ty5su+++3apVe0G9LoxvZpievz0pz+VCRMmtLfVvbvS1WG6Qis1syqbCAwcAhCAAAQgAIHSCGBglYaaC0EAAhCAAAQg4IWA7gWle0Lpka5q6mls69ata9/4/Oijj5Yrr7yyQ5O777472VRdj9/85jfyjne8I/lZ95tKHxnUzeN1L6zscfDBByd7X+nx4osviq7Syh49GVi1+2Ydd9xxMuP/tXc3oTZ1YRzAl1BCIiQKpQwMDcjAXEoZiAwRkTARiQEmJCJfE8KAEQZKJgYyYEBR5krka8BA+Wbw9qw6t33Pdd693O615P5WSc599nru/h2jf2s/++LFvMXVq1fTuHHj+u0XjyzGKbLoEye+uk9wtTn4OQECBAgQIEBgMAICrMGouYYAAQIECBAY0QKbN29O586dywYxE2r69OmtHs0ZWDFjateuXf2uiUf95s6dm16+fJm2bNmSYi5WrDgBFXOvItCKYKt7bdy4MV24cCF/fO/evfx4YnN9/PhxwGD4GAa/YcOGXNYMsD58+JAmT57cei+dgpi9FfPALAIECBAgQIDAcAsIsIZb2P4ECBAgQIDAPydw7dq1tGbNmnxfly5dSuvWrRtwj3Eya9SoUX2fx4mr9evX53/HWwTjbYLd6/Dhw2nv3r35dFMEY3GiasaMGbnsypUrKU4/da8YJt8JkU6dOpW2b9/e6h2D4jtvTmwGWHHyKk5gxYrHHJuztpqbxqmuWN2zvFobKyBAgAABAgQIDFJAgDVIOJcRIECAAAECI1fg8+fPacKECRkghqc/ffq036N7ERDFY38HDx5Ma9euTe/fv0/z58/ve/Tu+fPnacqUKQMAYyD8nDlz8ucRcr169SrFaa8ItN6+fZvGjx8/4JpPnz6liRMn5s+jLk5hdcKpXt9QrwArZmVFOBXD6eN37Mzh6t6nM68rPn/y5Elrv5H7P8WdEyBAgAABAkMlIMAaKkn7ECBAgAABAiNK4OjRo2n37t35nlevXp3Onz+f3zIYKx4RjCHnsebNm5dDrs6ppevXr6dVq1b1tFqxYkW6detWPgn17NmzdOfOnbRjx4508uTJntc0+7WFWK9fv0579uxJly9fzvt1TmDFcPkYCB/rwIEDaf/+/T37Ned1bdu2LZ0+fXpEffdulgABAgQIEPjzAgKsP2+uIwECBAgQIPAPCPz8+TMPXY+39sWKU0vHjx/Pj97NnDkzHTt2bEAItHLlynTjxo3/vfuYd9V8818UP378OC1cuLDndTEgfvny5SneKBgrQqx4rHDp0qVp8eLFedB8nJR68OBBOnHiRL99OntHqHXkyJH8s18Ni29e1JzXFZ/H7KxJkyb9A9+qWyBAgAABAgT+VgEB1t/6zfi9CBAgQIAAgb9eIB7fiyHqMYeqZEWwFKel4nTV2LFjf3nJt2/f8lD4eNNfrAjEHj161Lr9ly9f8omwM2fOtNZGQbwJ8dChQ2nWrFnp+/fvadq0abnnokWL0sOHD1v3iGv37duX62Kg/aZNm1qvUUCAAAECBAgQGKyAAGuwcq4jQIAAAQIECKSUTzfdvHkzB0edE1BNmGXLluWB7/HI3t27d/OP4rHCCImmTp36S8PmaajfDYfu37+fYhh7/Ole0XfJkiV50Hv83Vm3b99O8XvGOnv2bNq6dWvrd/vixYv81sRYpaFX66YKCBAgQIAAAQI9BARY/msQIECAAAECBIZIIN4aGIPY3717l09RzZ49u99w93h8cOfOnWnMmDH5Mb3mWwqH6Ffo2+bHjx/pzZs3KWZejR49Oi1YsKBv2PtQ97IfAQIECBAgQGC4BQRYwy1sfwIECBAgQIBAQ+Dr1695OHsEShYBAgQIECBAgECZgACrzEkVAQIECBAgQIAAAQIECBAgQIBAJQEBViV4bQkQIECAAAECBAgQIECAAAECBMoEBFhlTqoIECBAgAABAgQIECBAgAABAgQqCQiwKsFrS4AAAQIECBAgQIAAAQIECBAgUCYgwCpzUkWAAAECBAgQIECAAAECBAgQIFBJQIBVCV5bAgQIECBAgAABAgQIECBAgACBMgEBVpmTKgIECBAgQIAAAQIECBAgQIAAgUoCAqxK8NoSIECAAAECBAgQIECAAAECBAiUCQiwypxUESBAgAABAgQIECBAgAABAgQIVBIQYFWC15YAAQIECBAgQIAAAQIECBAgQKBMQIBV5qSKAAECBAgQIECAAAECBAgQIECgkoAAqxK8tgQIECBAgAABAgQIECBAgAABAmUCAqwyJ1UECBAgQIAAAQIECBAgQIAAAQKVBARYleC1JUCAAAECBAgQIECAAAECBAgQKBMQYJU5qSJAgAABAgQIECBAgAABAgQIEKgkIMCqBK8tAQIECBAgQIAAAQIECBAgQIBAmYAAq8xJFQECBAgQIECAAAECBAgQIECAQCUBAVYleG0JECBAgAABAgQIECBAgAABAgTKBARYZU6qCBAgQIAAAQIECBAgQIAAAQIEKgkIsCrBa0uAAAECBAgQIECAAAECBAgQIFAmIMAqc1JFgAABAgQIECBAgAABAgQIECBQSUCAVQleWwIECBAgQIAAAQIECBAgQIAAgTIBAVaZkyoCBAgQIECAAAECBAgQIECAAIFKAgKsSvDaEiBAgAABAgQIECBAgAABAgQIlAkIsMqcVBEgQIAAAQIECBAgQIAAAQIECFQSEGBVgteWAAECBAgQIECAAAECBAgQIECgTECAVeakigABAgQIECBAgAABAgQIECBAoJKAAKsSvLYECBAgQIAAAQIECBAgQIAAAQJlAgKsMidVBAgQIECAAAECBAgQIECAAAEClQQEWJXgtSVAgAABAgQIECBAgAABAgQIECgTEGCVOakiQIAAAQIECBAgQIAAAQIECBCoJCDAqgSvLQECBAgQIECAAAECBAgQIECAQJmAAKvMSRUBAgQIECBAgAABAgQIECBAgEAlAQFWJXhtCRAgQIAAAQIECBAgQIAAAQIEygQEWGVOqggQIECAAAECBAgQIECAAAECBCoJCLAqwWtLgAABAgQIECBAgAABAgQIECBQJiDAKnNSRYAAAQIECBAgQIAAAQIECBAgUElAgFUJXlsCBAgQIECAAAECBAgQIECAAIEyAQFWmZMqAgQIECBAgAABAgQIECBAgACBSgICrErw2hIgQIAAAQIECBAgQIAAAQIECJQJ/Afd2TFmRUokcgAAAABJRU5ErkJggg==" style="text-align: left;" width="346" /> </div><google-sheets-html-origin><table border="1" cellpadding="0" cellspacing="0" dir="ltr" style="border-collapse: collapse; border: none; font-family: Arial; font-size: 10pt; table-layout: fixed; width: 0px;" xmlns="http://www.w3.org/1999/xhtml"><colgroup><col width="85"></col><col width="65"></col><col width="65"></col><col width="65"></col></colgroup><tbody><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"% of CPU usage with different codecs"}" style="border-color: rgb(204, 204, 204) transparent rgb(204, 204, 204) rgb(204, 204, 204); border-image: initial; border-style: solid; border-width: 1px; overflow: visible; padding: 2px 0px; vertical-align: bottom;"><div style="left: 3px; overflow: hidden; position: relative; white-space: nowrap; width: 278px;"><div style="float: left;">% of CPU usage with different codecs</div></div></td><td style="border-color: rgb(204, 204, 204) transparent rgb(204, 204, 204) rgb(204, 204, 204); border-image: initial; border-style: solid; border-width: 1px; overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td><td style="border-color: rgb(204, 204, 204) transparent rgb(204, 204, 204) rgb(204, 204, 204); border-image: initial; border-style: solid; border-width: 1px; overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td><td style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"QVGA"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">QVGA</td><td data-sheets-value="{"1":2,"2":"200Kbps"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">200Kbps</td><td data-sheets-value="{"1":2,"2":"800Kbps"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">800Kbps</td><td data-sheets-value="{"1":2,"2":"2Mbps"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">2Mbps</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"VP8"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">VP8</td><td data-sheets-value="{"1":3,"3":18}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">18</td><td data-sheets-value="{"1":3,"3":22}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">22</td><td data-sheets-value="{"1":3,"3":28}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">28</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"VP9"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">VP9</td><td data-sheets-value="{"1":3,"3":20}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">20</td><td data-sheets-value="{"1":3,"3":28}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">28</td><td data-sheets-value="{"1":3,"3":33}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">33</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"H264"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">H264</td><td data-sheets-value="{"1":3,"3":10}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">10</td><td data-sheets-value="{"1":3,"3":14}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">14</td><td data-sheets-value="{"1":3,"3":15}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">15</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"AV1"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">AV1</td><td data-sheets-value="{"1":3,"3":36}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">36</td><td data-sheets-value="{"1":3,"3":46}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">46</td><td data-sheets-value="{"1":3,"3":50}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">50</td></tr></tbody></table></google-sheets-html-origin></google-sheets-html-origin><h4 style="clear: both; text-align: left;">VGA results</h4><div class="separator" style="clear: both; text-align: left;">For VGA the results were not very different but at low bitrates only VP9 was able to maintain the resolution and AV1 was using more than 1 core when increasing the bitrate limit to 2 Mbps. Quality of H.264 at 200Kbps was really bad with very low framerate and lot of blocking as adaptation is apparently not working well in this case in Chrome.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><google-sheets-html-origin style="text-align: start;"><table border="1" cellpadding="0" cellspacing="0" dir="ltr" style="border-collapse: collapse; border: none; font-family: Arial; font-size: 10pt; table-layout: fixed; width: 0px;" xmlns="http://www.w3.org/1999/xhtml"><colgroup><col width="100"></col><col width="71"></col><col width="71"></col><col width="71"></col></colgroup><tbody><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"% of CPU usage with different codecs"}" style="border-color: rgb(204, 204, 204) transparent rgb(204, 204, 204) rgb(204, 204, 204); border-image: initial; border-style: solid; border-width: 1px; overflow: visible; padding: 2px 0px; vertical-align: bottom;"><div style="left: 3px; overflow: hidden; position: relative; white-space: nowrap; width: 239px;"><div style="float: left;">% of CPU usage with different codecs</div></div></td><td style="border-color: rgb(204, 204, 204) transparent rgb(204, 204, 204) rgb(204, 204, 204); border-image: initial; border-style: solid; border-width: 1px; overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td><td style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td><td style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"VGA"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">VGA</td><td data-sheets-value="{"1":2,"2":"200Kbps"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">200Kbps</td><td data-sheets-value="{"1":2,"2":"800Kbps"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">800Kbps</td><td data-sheets-value="{"1":2,"2":"2Mbps"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">2Mbps</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"VP8"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">VP8</td><td data-sheets-value="{"1":3,"3":18}" style="background-color: #f1c232; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">18</td><td data-sheets-value="{"1":3,"3":30}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">30</td><td data-sheets-value="{"1":3,"3":46}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">46</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"VP9"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">VP9</td><td data-sheets-value="{"1":3,"3":26}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">26</td><td data-sheets-value="{"1":3,"3":38}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">38</td><td data-sheets-value="{"1":3,"3":40}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">40</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"H264"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">H264</td><td data-sheets-value="{"1":3,"3":8}" style="background-color: #cc0000; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">8</td><td data-sheets-value="{"1":3,"3":13}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">13</td><td data-sheets-value="{"1":3,"3":16}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">16</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"AV1"}" style="border: 1px solid rgb(204, 204, 204); font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;">AV1</td><td data-sheets-value="{"1":3,"3":33}" style="background-color: #f1c232; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">33</td><td data-sheets-value="{"1":3,"3":80}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">80</td><td data-sheets-value="{"1":3,"3":150}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">150</td></tr></tbody></table></google-sheets-html-origin></div><h4 style="text-align: left;">HD (1280x720) results</h4></div><div class="separator" style="clear: both; text-align: left;">HD results were similar to VGA but AV1 was not able to encode the original resolution and downscaled it in the tests with all the bitrates. H264 also behaved very poorly at low bitrate and the difference between VP8 and VP9 cost was much higher than with VGA.<br /></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><google-sheets-html-origin style="text-align: start;"><table border="1" cellpadding="0" cellspacing="0" dir="ltr" style="border-collapse: collapse; border: none; font-family: Arial; font-size: 10pt; table-layout: fixed; width: 0px;" xmlns="http://www.w3.org/1999/xhtml"><colgroup><col width="100"></col><col width="71"></col><col width="71"></col><col width="71"></col></colgroup><tbody><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"% of CPU usage with different codecs"}" style="border-color: rgb(204, 204, 204) transparent rgb(204, 204, 204) rgb(204, 204, 204); border-image: initial; border-style: solid; border-width: 1px; overflow: visible; padding: 2px 0px; vertical-align: bottom;"><div style="left: 3px; overflow: hidden; position: relative; white-space: nowrap; width: 239px;"><div style="float: left;">% of CPU usage with different codecs</div></div></td><td style="border-color: rgb(204, 204, 204) transparent rgb(204, 204, 204) rgb(204, 204, 204); border-image: initial; border-style: solid; border-width: 1px; overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td><td style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td><td style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"></td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"HD"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;">HD</td><td data-sheets-value="{"1":2,"2":"200Kbps"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;">200Kbps</td><td data-sheets-value="{"1":2,"2":"800Kbps"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;">800Kbps</td><td data-sheets-value="{"1":2,"2":"2Mbps"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;">2Mbps</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"VP8"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;">VP8</td><td data-sheets-value="{"1":3,"3":17}" style="background-color: #f1c232; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">17</td><td data-sheets-value="{"1":3,"3":30}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">30</td><td data-sheets-value="{"1":3,"3":65}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">65</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"VP9"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;">VP9</td><td data-sheets-value="{"1":3,"3":30}" style="background-color: #f1c232; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">30</td><td data-sheets-value="{"1":3,"3":50}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">50</td><td data-sheets-value="{"1":3,"3":80}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">80</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"H264"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;">H264</td><td data-sheets-value="{"1":3,"3":8}" style="background-color: #cc0000; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">8</td><td data-sheets-value="{"1":3,"3":12}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">12</td><td data-sheets-value="{"1":3,"3":16}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">16</td></tr><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"AV1"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;">AV1</td><td data-sheets-value="{"1":3,"3":35}" style="background-color: #f1c232; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">35</td><td data-sheets-value="{"1":3,"3":48}" style="background-color: #f1c232; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">48</td><td data-sheets-value="{"1":3,"3":90}" style="background-color: #f1c232; border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-align: right; vertical-align: bottom;">90</td></tr></tbody></table></google-sheets-html-origin></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><i>(In addition AV1 with HD resolution crashed often with a memory issue in a Mac related code, but maybe the bug is fixed at the time you read this)</i></div></div><p></p><h4 style="text-align: left;">Encoding vs Decoding cost</h4>I did one more test to split the cost between encoding (Sender side) and decoding (Receiver side). That test was performed for VGA at 800 Kbps and the results were the next ones for the four codecs under consideration.<div class="separator" style="clear: both; text-align: center;"><div style="margin-left: 1em; margin-right: 1em;"><img height="247" src="data:image/png;base64,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width="400" /></div></div><div><div>The results are not very different but the decoding in case of VP9 and AV1X was relatively cheaper compared with the encoding.<br /><br />Comparing just the decoding cost with different codecs it looks like AV1 is around 2x more expensive than the others. VP9 is slightly more expensive than VP8 and VP8 slightly more expensive than H264 but without big differences between those three.</div><div><p></p><h4 style="text-align: left;">Conclusions</h4>Having new codecs is amazing and there is no doubt AV1 is the future of real-time video communications but it looks like we should wait a bit to be able to use it for general purpose videoconferencing applications. In the mean time we can probably use it for specific use cases like broadcasting, dedicated powerful devices or to encode the low resolution versions of the video streams when using simulcast.<br /><br />For other use cases VP8 and VP9 look like still the best options unless you don't worry that much about low bitrate cases or you are using high resolutions and battery/cpu consumption is a big concern and you can consider H264.</div><div><br /></div><div>Also there is apparently a new libaom patch coming that could improve the performance by a 15% so it would be good to repeat these tests with future versions of Chrome and different devices (AV1 could be potentially more optimized for ARM CPUs).</div><div><br /><i>If you want to replicate the test and share your data I will update these tables/graphs with the average of the measurements. <span face="Roboto, sans-serif" style="background-color: white; color: #444444; font-size: 15px;">And as usual feedback is more than welcomed either here or </span><a href="https://twitter.com/anarchyco" style="background: rgb(255, 255, 255); color: #2196f3; font-family: Roboto, sans-serif; font-size: 15px; text-decoration-line: none;">in Twitter</a><span face="Roboto, sans-serif" style="background-color: white; color: #444444; font-size: 15px;">.<br /><br />Thx a lot for the early feedback from @murillo, @elminiero, @dan_jenkins, @maniksach.</span></i><p></p></div></div></div>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com9tag:blogger.com,1999:blog-460321274846352896.post-3391443836141225402019-10-24T06:21:00.000-07:002019-10-24T06:21:53.870-07:00Speech recognition in Hangouts MeetThere are many possible applications for speech recognition in Real Time Communication services live captions, simultaneous translation, voice commands or storing/summarising audio conversations.<br />
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Speech recognition in the form of live captioning has been <a href="https://gsuiteupdates.googleblog.com/2019/09/live-captions-in-hangouts-meet-android.html">available in Hangouts Meet</a> for some months but recently it was promoted to a button in the main UI and I have started to use it almost every day.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgcFmvJukPDBOBjKQOx6M2BMINblAC_0mykR56WDnXt_ns4zYbespIeKRnqq40L0scI9cdEK6tJXZnbF-UB86LFOVMxCbzhy7bZhSe9DmqA52VPXMA-F96RTHfImLnSvrXnxcLDncWu5X4/s1600/Screenshot+2019-10-21+at+18.27.44.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="316" data-original-width="1600" height="123" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgcFmvJukPDBOBjKQOx6M2BMINblAC_0mykR56WDnXt_ns4zYbespIeKRnqq40L0scI9cdEK6tJXZnbF-UB86LFOVMxCbzhy7bZhSe9DmqA52VPXMA-F96RTHfImLnSvrXnxcLDncWu5X4/s640/Screenshot+2019-10-21+at+18.27.44.png" width="640" /></a></div>
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I'm mostly interested in the recognition technology and specifically on how to integrate <a href="https://github.com/mozilla/DeepSpeech">DeepSpeech</a> in RTC media servers to provide a cost effective solution but in this post I wanted to spend some time analysing how Hangouts Meet implemented captioning from a signalling point of view.<br />
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At a very high level there are at least three possible architectures for speech recognition in RTC services:<br />
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data-lucid-type="application/vnd.lucid.chart.objects"> </span><img height="208" src="https://documents.lucidchart.com/documents/d687a403-4dd1-4b74-bc6a-646bdf1204fe/pages/0_0?a=707&x=-66&y=153&w=1715&h=560&store=1&accept=image%2F*&auth=LCA%20dbaf91744566df4fd4c2cca9c5ef0e9cada0f26a-ts%3D1571780360" width="640" /><br />
A) <b>On device speech recognition</b>: This is the cheapest option but not all the devices have support for it, the quality of the models is not as good as in the cloud ones and it requires some additional CPU usage that can be a problem for limited devices.<br />
B) <b>Recognition in a separate server</b>: This is very inefficient in terms of network because the client needs to send the audio twice in parallel, it is expensive for the service provider but doesn't require changes in the media server.<br />
C) <b>Recognition from the media server</b>: This is very efficient from the client and network point of view but requires changes in the media server and it is expensive for the service provider.<br />
<br />
Given the fact that Google owns its own Speech Recognition service and because of that the cost is probably not their biggest concern it looks like the most reasonable approach for Hangouts Meet could be the Option C. So I tried to confirm it and see how the transcriptions are sent between the media server and the browser. <br />
<br />
First thing I did was to take a look at the minified code and to the HTTP requests sent by Hangouts Meet web page during the conversation but I couldn't find and reference to stt/transcription/recognition or anything like that. I also ran a very simple <a href="https://jsfiddle.net/pr4egok1/">WebSpeech snippet</a> in the browser console while connected to Hangouts and saw the results where different in the Hangouts page and in the on-device recognition (It was better in the page).<br />
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So next I decided to take a look at the <a href="https://developer.mozilla.org/en-US/docs/Web/API/RTCDataChannel">DataChannels</a> in chrome://webrtc-internals and voilà, there were a lot of messages received while I was talking so those had to be the messages with the speech recognition content.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjE6aA3L-7WLz9l0u79RXwbFWEqhyp9bHleYPUlx6XRpRfdrXgcWRb-SR9Eul4xfIpI74IBXIjO5WHOrFGvRPKGWYG3gbZaFkcJGIBD8e9t6kYtn-ZZ5S5vHFFzmYe84TgZO_6gmhhSJKs/s1600/Screenshot+2019-10-23+at+00.15.17.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="453" data-original-width="1600" height="111" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjE6aA3L-7WLz9l0u79RXwbFWEqhyp9bHleYPUlx6XRpRfdrXgcWRb-SR9Eul4xfIpI74IBXIjO5WHOrFGvRPKGWYG3gbZaFkcJGIBD8e9t6kYtn-ZZ5S5vHFFzmYe84TgZO_6gmhhSJKs/s400/Screenshot+2019-10-23+at+00.15.17.png" width="400" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0erx6XN6Sjme5KI0Ff6dbBRs34HalwevG8-TwM-dSn_s0h5Oiw2JFXAOVdHU1_bO_Vzp4_ZN2lTZTKE9A5GZVHnPN37WqND6FmvUVvKuDzF3v0EeUi9wG2c9_NfBceGqUMyzBSm25YoQ/s1600/Screenshot+2019-10-21+at+18.52.23.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em; text-align: center;"><img border="0" data-original-height="152" data-original-width="866" height="56" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0erx6XN6Sjme5KI0Ff6dbBRs34HalwevG8-TwM-dSn_s0h5Oiw2JFXAOVdHU1_bO_Vzp4_ZN2lTZTKE9A5GZVHnPN37WqND6FmvUVvKuDzF3v0EeUi9wG2c9_NfBceGqUMyzBSm25YoQ/s320/Screenshot+2019-10-21+at+18.52.23.png" width="320" /></a>After that I checked in webrtc-internals events and I saw there was a specific DataChannel created for the captions the first time you enable them in addition to the default DataChannel that it is always open in Hangouts Meet.<br />
<br />
To try to figure out the exact options of that DataChannel and the format of the information sent in those messages I replaced the RTCPeerConnection.createDataChannel API with my own to be able to intercept those calls using <a href="https://jsfiddle.net/ea6rucyg/">this simple snippet</a> in the browser console.<br />
<br />
With that in place I saw the <b>unreliable DataChannel for the captions is created with maxRetransmissions=10 and the payload is binary data probably in protobuf format</b>. Still we can convert it to string and see a couple of fields with the user id and the text inside:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjd67TmCeDySZrVyRG6vhL5HZEw86nQuO3-pFP6PLoK4N3sSemTeMTX9o7lAe2eVNiGJhs-ohzo0Gg7Y5rKQm6WeLO5nkKTX_KykoY3s4MX56apbJ3pfEmQCMJ3U5-_1lhVsaE9D8_Q3Ik/s1600/Screenshot+2019-10-21+at+19.27.02.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="380" data-original-width="1466" height="82" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjd67TmCeDySZrVyRG6vhL5HZEw86nQuO3-pFP6PLoK4N3sSemTeMTX9o7lAe2eVNiGJhs-ohzo0Gg7Y5rKQm6WeLO5nkKTX_KykoY3s4MX56apbJ3pfEmQCMJ3U5-_1lhVsaE9D8_Q3Ik/s320/Screenshot+2019-10-21+at+19.27.02.png" width="320" /></a></div>
<br />
And that's all for today. In the next post I'll try to share some information around my DeepSpeech experiments. As usual feedback is more than welcomed either here or <a href="https://twitter.com/anarchyco">in Twitter</a>.<br />
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<br />Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com1tag:blogger.com,1999:blog-460321274846352896.post-28336898913381402902019-04-12T14:05:00.004-07:002019-05-06T13:00:03.140-07:00Implementing P2P-SFU transitions in WebRTC<div style="-en-clipboard: true;">
One of the more disruptive aspects of WebRTC is the ability of establishing P2P connections without any server involved in the media path. However <a href="https://webrtchacks.com/webrtc-beyond-one-one/">this doesn’t scale well for multiparty audio/video calls</a> as the bandwidth and cpu required for a full mesh of N:N P2P connections is too much in most of the cases.</div>
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But the fact that you support multiparty calls doesn’t mean that you shouldn’t consider using P2P connections when there are only two participants in the room and switch back to the SFU when the third participant joins or when you need to enable some recording or broadcasting capabilities only available in the SFU.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0bRnNVouQMLZeMa2Cfhj0BywYpvv-sLWEpCONhTHB7pYN666iYu3j7AarpDlioaTUasvmBXYAh9kMb63kyZqzAfHLiJ_8PRNeZTQO0qIaylwKdcpT5WJE5I1GVd2i3837D7TULyinpNU/s1600/Untitled+4.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="201" data-original-width="1037" height="124" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0bRnNVouQMLZeMa2Cfhj0BywYpvv-sLWEpCONhTHB7pYN666iYu3j7AarpDlioaTUasvmBXYAh9kMb63kyZqzAfHLiJ_8PRNeZTQO0qIaylwKdcpT5WJE5I1GVd2i3837D7TULyinpNU/s640/Untitled+4.png" width="640" /></a></div>
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<div>
In fact this approach of using P2P when only two participants are connected and switching to the SFU has been successfully implemented in many products in the last years (<a href="https://jitsi.org/news/p2p4121/">Jitsi</a>, <a href="https://support.google.com/a/answer/6334301?hl=en">Hangouts</a>, <a href="https://www.youtube.com/watch?v=F7UWvflUZoc">Facebook</a>). The implementation of this feature is not trivial but it provides enough advantages to be worth it:</div>
<ul>
<li><div>
Minimise the network hops <b>reducing the end to end delay</b> and the chances of having congestion. This is specially interesting in countries where you don't have datacenters or meetings inside corporate networks.
</div>
</li>
<li><div>
Be able to <b>use all the features included in WebRTC</b>. For example even if your SFU only supports REMB based congestion control you can use the newer transport feedback based congestion control at least while in P2P mode.</div>
</li>
<li><div>
Reduce the <b>infrastructure costs</b> (specially the bandwidth cost).</div>
</li>
</ul>
<div>
There are different ways to implement this feature but at a high level the biggest decision is probably: Are you still connected to the SFU while having the P2P connection or not?
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<div>
Having the SFU connection always established makes the switching faster but on the other side not having that connection open all the time is more efficient both for the endpoints and the infrastructure.
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I did a quick review of the most popular WebRTC services / platforms to see how they do it and this is what I saw:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhMqVLGbP19zEZh3p8MPD6G7srRGPe64-jLSCnQY901dkdsNrIgRQ-0Hck4Ohl2u1B-kmeJhtCePC2IVd8xGDtbH-3Gvp_0_SmtBEkfpi-ZfzDD5Htp1AS6i0PJrg4mONs_-EBRBIwG_2U/s1600/Untitled+3.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="183" data-original-width="704" height="166" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhMqVLGbP19zEZh3p8MPD6G7srRGPe64-jLSCnQY901dkdsNrIgRQ-0Hck4Ohl2u1B-kmeJhtCePC2IVd8xGDtbH-3Gvp_0_SmtBEkfpi-ZfzDD5Htp1AS6i0PJrg4mONs_-EBRBIwG_2U/s640/Untitled+3.png" width="640" /></a></div>
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<div>
As you can see there is no obvious winner based on the choices of those popular platforms and both approaches have its merits.<br />
Note: I tested other services, platforms and opensource implementations and couldn’t find this feature. If I’m wrong please let me know the name and I will update the table.</div>
<div>
<br />
Apart from that decision about maintaining the SFU connection open or not you also need to decide when and how to do the switching and there are many optimisations that can be done here specially in mobile native apps to minimise the transition and make it as seamless as possible. But that can be a topic for other day... :)</div>
Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com7tag:blogger.com,1999:blog-460321274846352896.post-14587917357310551782018-12-10T05:53:00.003-08:002018-12-10T06:14:13.459-08:00Sending Packet Loss Feedback in WebRTC SFUsOne of the responsibilities of WebRTC <a href="https://webrtcglossary.com/sfu/">SFUs</a> is to receive and send <a href="https://tools.ietf.org/html/rfc3550">RTCP</a> packets. RTCP packets include different types of feedback about audio and video streams and one of the most important RTCP packets is the <a href="https://tools.ietf.org/html/rfc3550#section-6.4.2">Receiver Report (RR)</a>.<br />
<br />
RR packets are sent from the receiver of the media stream towards the sender of that media stream. In case of an SFU the RR are generated and sent from the SFU to the media stream Sender and also from every stream Receiver to the SFU (Figure 1).<br />
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The feedback sent inside RR packets include fields to calculate the round-trip-time delay, the jitter and the packet loss introduced by the network.<br />
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" 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<br />
The packet loss reported in these RR packets is important because the audio and video being sent will be adjusted based on that parameter:<br />
<ul>
<li>In case of <b>audio</b> streams the packet loss in the network modifies the level of robustness of the OPUS codec. In presence of high packet loss the sender increases the level of redundancy of the forward error correction (FEC) included in the audio packets.</li>
<li>In case of <b>video</b> streams the packet loss modifies the video bitrate encoded and sent. In presence of high packet loss the sender decreases the bitrate sent to reduce the possible congestion in the network.</li>
</ul>
Based on that behavior the question is... How should a SFU calculate the packet loss reported in the RR packets sent from the SFU to the Sender to get the best possible user experience?<br />
<br />
In the next sections you can find a suggestion for how to handle this in three different types of streams: Audio, Video with simulcast and Video without simulcast.<br />
<h2>
Audio</h2>
Opus FEC is sent <i>inband</i> and because of that FEC is end to end (cannot be added/updated in an SFU) and everybody in the room will receive the same level of FEC.<br />
<br />
If we want audio FEC to work well for the participant with the weakest link then we have to make sure we report the worse packet loss to the sender.<br />
<br />
Because of that the packet loss reported from the SFU to the sender
should be the worse packet of the receivers (max(PL1, PL2)).<br />
<br />
For example the packet loss reported to the sender will be 20% if one of the receiving participants is experiencing a 20% packet loss in the downlink even if the sender and rest of receivers are in perfect network conditions.<br />
<br />
<img alt="" height="168" 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" width="640" /><br />
<h2>
Video with Simulcast</h2>
When using <a href="https://webrtchacks.com/sfu-simulcast/">Simulcast</a> the SFU has the ability to send a different video quality to each participant so there is no need to adapt the sender stream to any specific participant.<br />
<br />
Because of that the packet loss reported from the SFU to the sender should be the packet loss in that link (Sender-SFU) no matter what the packet loss received the Receiver 1 and 2 is.<br />
<br />
For example the packet loss reported to the sender will be 0 if the sender uplink is good even if the receivers are experiencing big packet loss in the downlink. That will be corrected with retransmissions and bitrate adaptation done in the SFU by selection a lower resolution/layer to be forwarded to those participants.<br />
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<img alt="" height="169" 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width="640" /><br />
<h2>
Video with No-Simulcast </h2>
When there is no <a href="https://webrtchacks.com/sfu-simulcast/">Simulcast</a>
the SFU has to send the same video quality to every
participant. Because of that it is important that the sender adapts the
sending bitrate to the participant with the weakest link (and/or
disable the video for some participants).<br />
<br />
This bitrate
adaptation is mostly controlled by REMB RTCP packets where the SFU includes the bandwith available in the worse receiver. But packet loss
has also an impact on top of the bitrate reported in the REMB packets so we need to decide what packet loss to include in the RR packets.<br />
<br />
In this case I think both approaches described in the previous sections can work reasonably well. Either a) the SFU reports back the worse packet loss of the receivers or b) use the packet loss of each receiver to estimate its bandwidth and report only the sender side packet loss in the RR packets.<br />
<br />
Note:
If you use P2P connections when there are 2 participants in the room
and switch to the SFU with Simulcast when there are 3 or more participants
in the room you should be almost never in this Video with No-Simulcast
and multiple participants case.<br />
<br />
<br />
<i style="background-color: white; color: #444444; font-family: roboto, sans-serif; font-size: 15px;">You can <a href="https://twitter.com/anarchyco" style="color: #2196f3;">follow me in Twitter</a> if you are interested in Real Time Communications.</i><br />
<br />
<br />
<br />Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com4tag:blogger.com,1999:blog-460321274846352896.post-48654872061226582302018-10-05T07:19:00.003-07:002018-10-05T07:20:30.731-07:00Measuring WebRTC video quality for different bitrates - Playing with VMAFI've been wanting to play with <a href="https://github.com/Netflix/vmaf">Netflix Video Multi-Method Assessment Fusion (VMAF</a>) for a while and yesterday I found the time and the motivation to give it a try.<br />
<br />
Netflix VMAF is an algorithm to generate a video quality score by comparing a reference image/video with a distorted image/video. To do that VMAF calculates scores using tradicional image quality metrics like VIF or DLM and then aggregate them using a Machine Learning model (SVM) trained with the videos and scores coming from real users. Smart, isn't it? (You can see a high level description of those metrics that are aggregated in this <a href="https://medium.com/netflix-techblog/toward-a-practical-perceptual-video-quality-metric-653f208b9652">Netflix post</a> or the <a href="https://en.wikipedia.org/wiki/Video_Multimethod_Assessment_Fusion">Wikipedia page</a>)<br />
<br />
It is important to notice that <b>VMAF works in a per-frame base so it is NOT a good tool to measure the quality impact of many artefacts happening in Real Time Communications</b> (delays, reduced/frozen framerate, audio/video desync). However we can use it to measure the impact of different encoding settings like the average bitrate of the encoding.<br />
<br />
As you can expect coming from Netflix VMAF was designed for video streaming and trained using images from movies. Anyway I was interested on seeing how it performs with mobile videoconference like videos so I recorded a short typical VGA video with a talking face not very stable.<br />
<br />
I reencoded that sample video in VP8 using ffmpeg with different bitrates (50kbps, 100kbps, 200kbps, 400kbps, 600kpbs, 800kpbs, 1.2mbps, 2mpbs) and then used the <a href="https://github.com/Netflix/vmaf/blob/master/resource/doc/VMAF_Python_library.md">ffmpeg2vmaf</a> command line tool to calculate the score of those videos and presented them in the following graph:<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><img height="395" 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" style="margin-left: auto; margin-right: auto;" width="640" /></td></tr>
<tr><td class="tr-caption" style="text-align: center;">VMAF scores for </td></tr>
</tbody></table>
<br />
What we can see in this test is that <b>beyond 600 (or even a little bit lower) the quality improvement is not that high and beyond 1200 it is barely noticeable</b>. Remember that these results are based on VMAF default model (not tuned for videoconference videos) and for my specific test video but the results don't look very different that what our experience with real users in production tells us.<br />
<br />
This kind of test can help us decide the max bitrate we want to use for our WebRTC conferences, although there are other implications beyond quality like <b>battery consumption </b>and the results <b>depend on the type of video, use case and how picky your users of your application are</b>. That's the reason why we have to be careful when playing with video bitrates in production. As an example <a href="https://atscaleconference.com/videos/video-scale-2018-li-tal-mashiach-facebook/">Facebook explained</a> how increasing the bitrate lead to lower user scores because of the implications in battery consumption. In Houseparty we always do A/B testing to quantify the impact of any relevant change like this and decide the optimal video bitrate for our specific use case.<br />
<br />
Google is <a href="https://bugs.chromium.org/p/webrtc/issues/detail?id=9642">including VMAF in the WebRTC test suite</a> and implementing some frame <a href="https://webrtc.googlesource.com/src.git/+/b2c0e8f60fad10e2786e5e131136a0da1299d883">alignment</a> to overcome the limitation of having to compare a specific reference frame with the corresponding distorted one. It would be nice if in the future we could expand the VMAF idea including new metrics in the ML algorithm to account for delays, framerate or video desynchronization. That core idea of multi-method fusion looks very powerful!<br />
<br />
<i style="background-color: white; color: #444444; font-family: roboto, sans-serif; font-size: 15px;">You can <a href="https://twitter.com/anarchyco" style="color: #2196f3;">follow me in Twitter</a> if you are interested in Real Time Communications.</i><br />
<br />Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com2tag:blogger.com,1999:blog-460321274846352896.post-18074453795548061012018-05-08T00:08:00.003-07:002018-05-08T08:40:15.393-07:00How are Images/Videos sent in WhatsApp? I've been involved in the development on different IM&P services in the past and always one of the core features was the ability to share media files (audio, video, pdf...) with other users or groups.<br />
<br />
<a href="https://www.mobilegazette.com/media/tu-me/tu-me-2.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="392" data-original-width="200" height="320" src="https://www.mobilegazette.com/media/tu-me/tu-me-2.jpg" width="161" /></a><br />
Probably the most popular of these services was <a href="https://en.wikipedia.org/wiki/TU_Me">TU Me</a> that was based on SIP but used HTTP to upload and download the files from a central storage. SIP was used to send the message with the url to the other end so that he can download the media file.<br />
<br />
In cases where I had to use XMPP there were typically two approaches at least if you need to provide offline messaging:<br />
<ul>
<li>Some inefficient inband alternatives where the media files are sent using the XMPP connection.</li>
<li>Custom (or not widely supported like <a href="https://xmpp.org/extensions/xep-0363.html">xep-0363</a>) extensions based on HTTP Uploads.</li>
</ul>
But today I was curious on how this is done in WhatsApp. I found this <a href="https://github.com/tgalal/yowsup">opensource python implementation (yowsup)</a> that looks great and got an idea on how it could be done but I wanted to confirm what is the protocol used by the most recent WA clients and also get some captures of the messages to see how everything looks like.<br />
<br />
Obviously the easiest way was to use to WA Web Client because you have the Chrome developer tools in Chrome so I tried sending and receiving some files from the browser.<br />
<h2>
Sending a file</h2>
<b>1/ Request a url to upload the media file</b><br />
<br />
The first thing the client does when it needs to send a media file is to request an upload url from the server. This is done using the signaling channel over WebSockets with a message with the action "encr_upload", the type of the content ("image" or "video") and an long id that looks like a hash of the file to be sent.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhGpiXC8HJo7oEgOLq1ImBiuqKM-XZTNeBA6w9olEq4L2LpJDcnLD_N1TMo51oN7HXVTVVesXxpNhF-1o3fwDEQRVJK-nT9sKBQ9n_kIrcbHwSXT9dRSsBCq0upUMlNWhhn3rV0ZRtDFz8/s1600/Screen+Shot+2018-05-07+at+23.55.22.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="786" data-original-width="1600" height="313" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhGpiXC8HJo7oEgOLq1ImBiuqKM-XZTNeBA6w9olEq4L2LpJDcnLD_N1TMo51oN7HXVTVVesXxpNhF-1o3fwDEQRVJK-nT9sKBQ9n_kIrcbHwSXT9dRSsBCq0upUMlNWhhn3rV0ZRtDFz8/s640/Screen+Shot+2018-05-07+at+23.55.22.png" width="640" /></a></div>
<br />
The server replies with a "status=200" and a dedicatdd url where the file has to be uploaded. In my case the url was: <span style="color: #c41a16; font-family: "menlo" , monospace; font-size: 11px; white-space: pre;">https://mmg.whatsapp.net/u/f/CIX33...._kOA/Ajlc....78Xf</span><br />
<br />
<b>2/ Upload the media file</b><br />
<br />
The file is uploaded to the url received in the previous message using a HTTP POST as you can see in the next capture:<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEheJe7rD4w3jRA7fDUBEShDgmkxQ9L31TGzfY4dKYODzn3hG7OVSdi9sXeDVRtE3JRe3ONpmrO_yfkb9u3ZHhzMqyudhabT8s78JU_tAsoxaOaygFNUb_202ap1VZyeRIxv-8LPy17Jg1o/s1600/Screen+Shot+2018-05-08+at+00.06.52.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="920" data-original-width="1146" height="256" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEheJe7rD4w3jRA7fDUBEShDgmkxQ9L31TGzfY4dKYODzn3hG7OVSdi9sXeDVRtE3JRe3ONpmrO_yfkb9u3ZHhzMqyudhabT8s78JU_tAsoxaOaygFNUb_202ap1VZyeRIxv-8LPy17Jg1o/s320/Screen+Shot+2018-05-08+at+00.06.52.png" width="320" /></a></div>
<br />
It looks like if the file is uploaded encrypted (appart from using HTTPS) probably as part of the E2E encryption feature in WhatsApp.<br />
<br />
<b>3/ Send a message to the recipient of the media file</b><br />
<br />
After the file is uploaded to the mmg.whatsapp.net server the client sends a message using the WebSocket connection to send the actual message to the other participant (yellow line in the first capture). This message was bigger than expected (2-10K) so I thought it was very likely to include a thumbnail/preview.<br />
<br />
I confirmed that in the receiver side. The size of the preview image in base64 shown in the UI was more or less the size of that signaling message.<br />
<br />Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com4tag:blogger.com,1999:blog-460321274846352896.post-81487899471930109872017-10-25T15:01:00.001-07:002017-10-26T05:45:19.488-07:00Improving Real Time Communications with Machine Learning<br />
When we talk about the applications of Artificial Intelligence / Machine Learning (AI/ML) for Real Time Communications (RTC) we can group them in two different planes:<br />
<ul>
<li><b>Service Level</b>: There are many features that can be added to a videoconference service, for example identification of the participants, augmented reality, emotion detection, speech transcription or <a href="https://www.skype.com/en/features/skype-translator/">audio translation</a>. These features are usually based on image and speech recognition and language processing.</li>
<li><b>Infrastructure Level</b>: There are many ways to apply ML that do not provide new features but improve the quality and/or reliability of the audio/video transmission.</li>
</ul>
<div>
<img alt="" height="242" src="data:image/png;base64,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" 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Service level applications are fun, but they are more for Product Managers and I like technology more, so in the next sections I will try to describe possible applications of AI/ML for Real Time Communications at Infrastructure Level organizing those ideas in five different categories.</div>
<div>
<h2>
Optimizing video quality</h2>
</div>
Some of the ML algorithms used for image recognition can be used to optimize the video transmission in RTC services. I can imagine at least three ways in which these algorithms can help to improve the video quality.<br />
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The first way would be <b>to select the best possible encoding parameters for a specific video or a specific part of the frame</b>. For example if we can detect the most important parts of the scene (maybe the talking head) and use better encoding quality (lower quantization level) for those areas. Or another example, we can detect the type of information and give preference to framerate vs quality depending if it is a high motion video or a typical conversation.<br />
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The second way could be t<b>o reduce the amount of information being sent by removing the information that can be regenerated by the receiver</b>. As an extreme example, we all know the shape of human hair so even if you can, can you send lower quality and reconstruct the hair in the receiver? One example of this application can be seen in the <a href="https://research.googleblog.com/2016/11/enhance-raisr-sharp-images-with-machine.html">RAISR</a> demos by Google.<br />
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" style="cursor: move;" width="640" /></a></div>
<br />
The same process could be also used to improve the readability or
increase the detail level of objects that are too far or out of focus.<br />
<br />
It is also possible to apply ML in the video codec implementations to optimize the processing required to encode the frames as you can see in <a href="https://github.com/webmproject/libvpx/commit/670101439fe4a976fcacf997ff383b6cd6704596">this code</a> included in the VP9 codebase.<br />
<div>
<h2>
Optimizing audio quality</h2>
</div>
<div>
We should be able to <b>eliminate redundant audio data that can be regenerated in the receiver side</b> in the same way we describe for video in the previous section. In an extreme case we would only need to send the text and the accent / speed... of the speaker and the receiver should be able to reconstruct almost the same voice based on a previous learning process.<br />
<br />
One of the problems with audio quality is the <b>intelligibility in noisy environments</b>. ML algorithms can also help with this as shown by <a href="https://people.xiph.org/~jm/demo/rnnoise/">RRNoise project by Mozilla/Xiph</a> by learning how to better differentiate and suppress noise vs voice.<br />
<img alt="Banner" class="caption" src="https://people.xiph.org/~jm/demo/rnnoise/before.jpg" style="margin-left: auto; margin-right: auto; padding-top: 1em; width: 100%;" /></div>
<div>
<h2>
Tuning transmission settings</h2>
</div>
<div>
The amount of parameters involved in a RTC session is really big, it goes from codecs with tons of settings, bitrates, packetization sizes, buffers, timeouts.... Deciding which ones to use at a given time is not trivial and can even require per user/network adjusts that change dynamically. A ML based system could <b>learn what is the best combination of those parameters for a specific user in some specific conditions</b>.</div>
<div>
In case of multiparty calls it is critical to include some algorithms <b>to decide how the available bitrate is distributed for the different streams in the room</b>. For example is it better to send 2 videos at 50kbps or disable one and send the other one at 100kbps. A ML algorithm able to make those decisions (bitrates, framerates, resolutions, codecs...) in real time based on the uplink/downlink characteristics of all the participants in the call, but also based on the type of conversation and on who is/are the active speaker/s could provide a much better quality of experience.</div>
<div>
<h2>
Resource allocation and planning</h2>
</div>
<div>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhK_3uEBlAD-XPtqq7WW5C2cifqq93rcOfxhFINqbU5Fqsh9-KrXBP2AGVLN0oSWLcqvz4-0SweQbD3Fj6THY_d0qnNuwoLz5zGK8SlZS0x6Gy_YkK7hC5t-fgfhXWBz2vymNuy4fyatjU/s1600/Screen+Shot+2017-10-25+at+23.37.00.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhK_3uEBlAD-XPtqq7WW5C2cifqq93rcOfxhFINqbU5Fqsh9-KrXBP2AGVLN0oSWLcqvz4-0SweQbD3Fj6THY_d0qnNuwoLz5zGK8SlZS0x6Gy_YkK7hC5t-fgfhXWBz2vymNuy4fyatjU/s320/Screen+Shot+2017-10-25+at+23.37.00.png" width="320" /></a>Most of the RTC infrastructures include the concept of Media Servers. Those are the servers routing the audio and video packets between the different participants and are specially important in case of multiparty calls.<br />
<br />
For these calls you can use ML algorithms <b>to decide what is the best server to be used for a specific call</b> based on the location of the server, the location of the participant/s and the status of the servers (basically the load and network status). <br />
<br />
In the same way it can use for <b>forecasting</b> to predict load and make sure the amount of available resources is the optimum one.</div>
<h2>
Diagnostics and Monitoring</h2>
Most of the people who have been working building RTC platforms for a while has probably experienced how painful it is to debug issues. Same way that ML is started to be used for medical diagnostics in e-health it <b>can be also used to debug and find the root cause when there are problems</b>. For example based on quality metrics from different participants and the status of the servers can diagnose if it is a bug or a network issue, and in the second case which network was the responsible.<br />
<br />
We can also use the classification algorithms available in ML <b>to classify calls according to quality scores or other parameters</b> to generate reports or monitoring purposes.<br />
<br />
We can also use unsupervised learning <b>to detect anomalies in the system automatically </b>and trigger alerts.<br />
<div>
<br />
<br /></div>
<div>
</div>
As you can see there are many ways to use ML to improve the quality and/or reliability of our RTC platforms. And these were only some examples and I'm sure you have many other ideas.<br />
<br />
<br />
<i style="background-color: white; color: #444444; font-family: Roboto, sans-serif; font-size: 15px;">You can <a href="https://twitter.com/anarchyco" style="color: #2196f3; text-decoration-line: none;">follow me in Twitter</a> if you are interested in Real Time Communications. </i>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com125tag:blogger.com,1999:blog-460321274846352896.post-76432734731664615032017-06-11T13:34:00.002-07:002017-06-14T02:45:06.129-07:00Different WebRTC flavours from a server/platform point of viewWebRTC is a complex component with many optional features. Because of that there are different ways to use it, specially when your solution includes a media server in the middle, and not everybody is using it the same way.<br />
<br />
In some cases because of the use case requires some specific features, in others because of the background/history of the solution and in others maybe because of lack of development resources the fact is that today it is difficult to find two platforms/servers using WebRTC exactly with the same configuration/features.<br />
<br />
In this post we are trying to present how some of the most popular platforms/servers are using it. The goal is not to compare them or decide who is the best one (because as we said it depends on many factors) but to give an overview of the different options you have.<br />
<br />
This table has been made with help from many contributors, mostly the main developers of some of those media servers / platforms and the idea is to keep it updated and extend it. Feel free to reach out to me in Twitter or email address if you want to add/change something.<br />
<br />
This is the link to the document if you want to read it better: <a href="https://docs.google.com/spreadsheets/d/13YeU90Fb8Tk_mrtjGqKP-o_PaR5FmxjA8QYypmENphE/edit?usp=sharing">Spreadsheet link</a> . You can find the explanation for the different features in the comments of the column headers.<br />
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<div class="separator" style="clear: both; text-align: center;">
<a href="https://docs.google.com/spreadsheets/d/13YeU90Fb8Tk_mrtjGqKP-o_PaR5FmxjA8QYypmENphE/edit?usp=sharing"><img border="0" data-original-height="1011" data-original-width="1600" height="403" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgeHWl6vxmHkIqaGMjfQDxGkgcDMW4_D9KExAI731cWBoNJO6QOg72_LGj7apm5iBR1dUF2GlVdcntfCcyCNulyKVJsY5j1bLoWqH_L2StVXGirmpqJam5pv1WzzHKmMc_H8U0pxF7AyP8/s640/Screen+Shot+2017-06-14+at+11.41.23.png" width="640" /></a></div>
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<br />
<i style="background-color: white; color: #444444; font-family: Roboto, sans-serif; font-size: 15px;">You can <a href="https://twitter.com/anarchyco" style="color: #2196f3; text-decoration-line: none;">follow me in Twitter</a> if you are interested in Real Time Communications.</i>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com2tag:blogger.com,1999:blog-460321274846352896.post-44184889491407942632017-04-30T11:33:00.002-07:002017-05-20T19:59:28.635-07:00HOWTO Use temporal scalability to adapt video bitratesWe have talked many times about video scalability (<a href="https://webrtchacks.com/chrome-vp9-svc/">VP9 SVC</a>, <a href="https://webrtchacks.com/sfu-simulcast/">Simulcast</a>) and how it enables modern RTC infrastructures to provide high quality multiparty experiences while maintaining low infrastructure costs (re-encoding the video is more expensive and also degrades the media quality). This approach was popularised by <a href="http://info.vidyo.com/rs/vidyo/images/WP-Vidyo-SVC-Video-Communications.pdf">Vidyo</a> and can be seen in modern platforms like <a href="https://tokbox.com/platform/multi-party">OpenTok</a> and services like <a href="https://webrtchacks.com/hangout-analysis-philipp-hancke/">Hangouts/Meet</a> these days.<br />
<br />
Typically we talk about temporal and spatial scalability although you can also have quality scalability. With spatial scalability you generate multiple versions of the video with different resolutions. In case of temporal scalability the sequence of frames is encoded in a way so that some frames can be dropped in the server and the resulting frames sequence can be still decoded in the receiver side.<br />
<br />
This is an example of a typical VP8 encoding with 2 temporal layers where the base layer (blue frames) don't depend on the higher layer (yellow frames):<br />
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<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwZUNQAhz3c-onwIPo9OuYcMh7s2XWC65vaPXasq8PjrOCLgFcTVbw0qmxcIqiUCD62d9hC0ND0hZFPHweBxgHA9JyjPuWqmMu7nb502kPDsF8_NUytNZJAZ5HMME9UclxV8Ye2FS2mbk/s1600/VP8_TS.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="313" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwZUNQAhz3c-onwIPo9OuYcMh7s2XWC65vaPXasq8PjrOCLgFcTVbw0qmxcIqiUCD62d9hC0ND0hZFPHweBxgHA9JyjPuWqmMu7nb502kPDsF8_NUytNZJAZ5HMME9UclxV8Ye2FS2mbk/s640/VP8_TS.jpg" width="640" /></a></div>
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This type of encoding (usually combined with spatial scalability too) is very useful in multiparty scenarios because it allows media servers to generate different bitrates for different participants without having to reencode the video. For example you could forward 30 fps to a participant using a high quality DSL/Fiber line while forwarding only 15 fps to a participant using 3G.<br />
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Implementing this selective forwarding in a server is very easy, you just need to drop the frames with different layer identifiers. The server can check the temporal layer identifier (TID) <a href="https://tools.ietf.org/html/rfc7741#section-4.2">in the VP8 header</a> (or similar headers for other codecs) to make the decision when receiving a packet. <br />
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But there is a problem with selective forwarding.... RTP packets include 2 identifiers that are supposed to be sequential:<br />
<ul>
<li>RTP sequence numbers (SN). The identifier of the RTP packet. Used for reordering and retransmissions.</li>
<li>VP8 Picture IDs (PID). The identifier of the frame. Used to establish dependencies between frames.</li>
</ul>
<br />
If you just drop some packets in the server then the receiver will see non consecutive sequence numbers and will request many unneeded retransmissions, and also will see gaps in picture ids and (in some cases) will think that the received sequence is not decodable and the video will freeze.<br />
<br />
Ok, not a big deal, let's rewrite those identifiers before forwarding the packets. In Figure 1 you can see how a media server can selectively forward a video stream with 3 layers (TID=0, 1, 2) dropping the frames belonging to the highest layer (TID=2) while rewriting the SN and PID of the forwarded packets. In that example the identifiers of the forth frame (second blue one) have to be rewritten when dropping the third frame because it belongs to layer 2. Easy peasy.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi_d_cvZQO7vDYe7JVBP3pHf9TQhDXE61qfdqJHPf3JwwegzVnYgIMKYs2GwyJHq6-rlH9mX25pbtcj7Y2V-F8_fplBsOg3rXbOxLDOB0x7E8gDYdZrmd66TG1IPrQUUO_rUQjQMngRLjk/s1600/easy_case.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="163" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi_d_cvZQO7vDYe7JVBP3pHf9TQhDXE61qfdqJHPf3JwwegzVnYgIMKYs2GwyJHq6-rlH9mX25pbtcj7Y2V-F8_fplBsOg3rXbOxLDOB0x7E8gDYdZrmd66TG1IPrQUUO_rUQjQMngRLjk/s640/easy_case.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 1. Translating identifiers when dropping layer 2 in the server</td></tr>
</tbody></table>
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This was very easy, but not so fast... What happens when there is a packet lost and you have to decide how to rewrite the sequence number of the forth packet but you missed the third one? As you can see in Figure 2 you don't know if the third packet was belonging to layer 2 or not so how do you rewrite the forth packet identifiers? There are 2 options depending if the missing packet was in layer 2 or not and we don't know it.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6E1sjXAXGEI_cNJgaLSkichi6etWYzpmiD4DucXJJJHwb2dhAqZCsPUsyGVjpEnclJIFJArfhW42XKW5XO68l9vSSGz9cGZr8d2dPOnW2JeM0TtBqhgr5-QndwuM3TVgpZ_erdH-KKaU/s1600/packet_loss.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="334" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6E1sjXAXGEI_cNJgaLSkichi6etWYzpmiD4DucXJJJHwb2dhAqZCsPUsyGVjpEnclJIFJArfhW42XKW5XO68l9vSSGz9cGZr8d2dPOnW2JeM0TtBqhgr5-QndwuM3TVgpZ_erdH-KKaU/s640/packet_loss.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2. Different possible decisions when a packet is lost</td></tr>
</tbody></table>
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To be honest I have discussed this point with many people (apparently using different approaches right now) and I'm still not completely sure about what is the right solution here. But I can explain the solution that in my opinion is the best one.<br />
<br />
The basic idea is to assume the worse case scenario when you receive a packet and you are not sure about the sequence number that you should use. You can always assume that the missing packets had to be forwarded and if afterwards you were wrong you will be sending some useless packets but you will never have a broken sequence or frozen video. This is the approach shown in Figure 3.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj_0uW56Imbhbd6_dmIjgX5XYQlC5XcEPFEGWPmIxJKnvu6nmKG9ljNn_F72oTyPEplkQF0Nh8BPBqvWsLkDYJrw2wL6ZLL05YkN_GJcb0eFMfJGpuY5avOK0K68e3HT2i7Kyj4yVzhkZU/s1600/proposal.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="136" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj_0uW56Imbhbd6_dmIjgX5XYQlC5XcEPFEGWPmIxJKnvu6nmKG9ljNn_F72oTyPEplkQF0Nh8BPBqvWsLkDYJrw2wL6ZLL05YkN_GJcb0eFMfJGpuY5avOK0K68e3HT2i7Kyj4yVzhkZU/s640/proposal.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 3. Proposal of how to address packet lost when rewriting the identifiers</td></tr>
</tbody></table>
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As you can see in Figure 3 it is important that you forward the packet number 3 (pink one) when receiving the retransmission even if you are not forwarding the layer 2. Otherwise the receiver will keep asking for retransmissions and also won't be able to decode the video sequence until it has the information of PID=3 (pink one) and can decide to ignore it and proceed decoding the frame with PID=4 (blue one).<br />
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Hope this is useful, I'm very interested on receiving feedback about any problem you find with this approach or any better solution that you use right now in your implementation.<br />
<i><br class="Apple-interchange-newline" />You can <a href="https://twitter.com/anarchyco">follow me in Twitter</a> if you are interested in Real Time Communications.</i><br />
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<br />Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com1tag:blogger.com,1999:blog-460321274846352896.post-57146625994815262832017-03-17T01:17:00.000-07:002017-03-18T13:15:16.740-07:00How are retransmissions implemented in WebRTC<i>Executive Summary: This ended up being more complex than expected, if you are building an SFU just take the nack_module.cc & co files and use them. Or even better, just use OpenTok or any other existing platform. Anyway it is fun stuff to play with.</i><br />
<br />
<h1>
Introduction</h1>
When your network is congested and some of the packets are lost you need a mechanism to recover them. If we ignore signal processing tricks (like stretching the previous and next audio packets in the jitter buffer) there are two alternatives:<br />
<ul>
<li><b>Forward error correction</b>: in each packet you add some extra information about the previous ones in case they are lost and you need to reconstruct them (flexfec is the new format to do this in WebRTC [1]).</li>
<li><b>Retransmissions</b>: the sender will resend the packets usually after the receiver requests that with a negative acknowledgement message (NACK) indicating which packets were lost.</li>
</ul>
<div>
These mechanisms can be combined depending on the network conditions and can also be tuned for specific cases like scalable video as described in [2]. In Chrome the retransmissions are implemented for both audio and video but by default it is only enabled for video.</div>
<div>
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This post is about the retransmissions approach, specifically about when to ask for a retransmission and when not to do it.<br />
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<i>Disclaimer: Please report any mistake/inaccuracy in this post and I will fix it asap for future reference. BTW this post is not about rtx "encapsulation" vs the legacy way of sending retransmissions but I'm happy to talk about that in <a href="https://twitter.com/anarchyco">twitter</a> :)</i><br />
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<h1>
Implementation in the RTP Receiver Side</h1>
<br />
The RTP receiver side is the one requesting the retransmission sending a NACK RTCP packet when it detects a missing packet.<br />
<br />
But... should I request for retransmissions immediately after detecting a gap in the sequence numbers? Google implementation does that plus also have a periodic timer to keep requesting them.
<br />
<br />
And... for how long should I keep requesting the retransmission? Chrome keeps requesting the retransmission of a specific packet unless the sequence number is "more than 10000 old", the number of missing packets in the list is larger than 1000, you asked for the same packet 10 times already or you have a new decodable full frame (no packet is missing for any other frame it depends on).
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<br />
This is the Google implementation of WebRTC (and the same code is copied into Firefox and Safari) transcribed as pseudocode:<br />
<br />
<script src="https://gist.github.com/ggarber/7e814442166339a92c6b179445b8b365.js"></script>
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<h1>
Implementation in the RTP Sender Side</h1>
<br />
The RTP sender side is the one receiving the retransmission requests (NACKs) and resending the lost packets if possible.<br />
<br />
The main question here is if I should obey all the retransmission requests or not. The way this is implemented in Google's WebRTC implementation right now is this one:<br />
<ol>
<li>Keep a copy of the packets sent in the last 1000 msecs (the "history").</li>
<li>When a NACK is received try to send the packets requests if we still have them in the history.</li>
<li>But... (rtp_sender.cc)</li>
</ol>
<div style="font-weight: normal;">
<ul><ul>
<li>Ignore the request if the packet has been resent in the last RTT msecs.</li>
<li>Ignore the request if we are sending too many retransmissions. There is a rate limiter (retransmission_rate_limiter) that is apparently configured to the whole channel bandwidth estimation.</li>
<li>If pacing is enabled insert this packet in the queue with normal priority.</li>
</ul>
</ul>
</div>
<div style="font-weight: normal;">
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Hope you enjoyed this post, it made me feel even more grateful to Google for implementing and opensourcing the webrtc.org codebase.<br />
<div style="font-size: medium;">
<i><br class="Apple-interchange-newline" />You can <a href="https://twitter.com/anarchyco">follow me in Twitter</a> if you are interested in Real Time Communications.</i></div>
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[1] <a href="https://tools.ietf.org/html/draft-ietf-payload-flexible-fec-scheme-03">https://tools.ietf.org/html/draft-ietf-payload-flexible-fec-scheme-03</a><br />
[2] <a href="https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41611.pdf">https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41611.pdf</a><br />
[3] <a class="gmail_msg" data-saferedirecturl="https://www.google.com/url?q=https://chromium.googlesource.com/external/webrtc/%2B/master/webrtc/modules/video_coding/nack_module.cc&source=gmail&ust=1489949789471000&usg=AFQjCNHYBgY4bA4vSqtvtceP6sVzUatc4A" href="https://chromium.googlesource.com/external/webrtc/+/master/webrtc/modules/video_coding/nack_module.cc" style="background-color: white; color: #7e57c2; font-family: arial, tahoma, helvetica, freesans, sans-serif; font-size: 14.85px; position: relative; z-index: 0;" target="_blank">https://chromium.googlesource.<wbr></wbr>com/external/webrtc/+/master/<wbr></wbr>webrtc/modules/video_coding/<wbr></wbr>nack_module.cc</a><br />
[4] <a class="gmail_msg" data-saferedirecturl="https://www.google.com/url?q=https://chromium.googlesource.com/external/webrtc/%2B/master/webrtc/modules/rtp_rtcp/source/rtp_rtcp_impl.cc&source=gmail&ust=1489949789471000&usg=AFQjCNGHHzooTprtRZTKlYhLosCkV5S-9A" href="https://chromium.googlesource.com/external/webrtc/+/master/webrtc/modules/rtp_rtcp/source/rtp_rtcp_impl.cc" style="background-color: white; color: #7e57c2; font-family: arial, tahoma, helvetica, freesans, sans-serif; font-size: 14.85px; position: relative; z-index: 0;" target="_blank">https://chromium.googlesource.<wbr></wbr>com/external/webrtc/+/master/<wbr></wbr>webrtc/modules/rtp_rtcp/<wbr></wbr>source/rtp_rtcp_impl.cc</a><br />
[5] <a class="gmail_msg" data-saferedirecturl="https://www.google.com/url?q=https://chromium.googlesource.com/external/webrtc/%2B/master/webrtc/modules/rtp_rtcp/source/rtp_sender.cc&source=gmail&ust=1489949789471000&usg=AFQjCNEQGwQiFELZ3n2o6KyOwQV0XZB6ow" href="https://chromium.googlesource.com/external/webrtc/+/master/webrtc/modules/rtp_rtcp/source/rtp_sender.cc" style="background-color: white; color: #7e57c2; font-family: arial, tahoma, helvetica, freesans, sans-serif; font-size: 14.85px; position: relative; z-index: 0;" target="_blank">https://chromium.googlesource.<wbr></wbr>com/external/webrtc/+/master/<wbr></wbr>webrtc/modules/rtp_rtcp/<wbr></wbr>source/rtp_sender.cc</a><br />
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Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com7tag:blogger.com,1999:blog-460321274846352896.post-17132843541784319782017-01-30T13:11:00.001-08:002017-01-31T12:55:42.915-08:00Bandwidth Estimation in WebRTC (and the new Sender Side BWE)<span style="font-family: inherit;">Bandwidth estimation is probably the most critical component in the video engine of WebRTC. The bandwidth estimation (BWE) module is responsible for deciding how much video* traffic you can send without congesting the network to prevent degradation of the video quality.</span>
<br />
<span style="font-family: inherit;"><br /></span>
<b>In the past bandwidth estimation algorithms used to be very rudimentary and based mostly on packet loss.</b> Basically we used to start increasing slowly the video bitrate until we detected packets being lost. To detect the packet loss you use the standard RTCP feedback mechanisms where the receiver side reports packet loss periodically using RTCP Receiver Report (RR) messages.<br />
<br />
<b>Modern bandwidth estimation algorithms are more advanced and try to detect congestion before it is bad enough to make routers discard packets. These algorithms predicts congestion analyzing the delay between packets. </b> The idea is that when you start having some congestion, the buffers in the routers will start filling and the delay will be more variable. Some popular examples of these algorithms are <a href="https://tools.ietf.org/html/draft-ietf-rmcat-gcc-02">Google Congestion Control</a> (the one used in WebRTC), <a href="https://github.com/EricssonResearch/scream">SCReAM</a> and <a href="http://aim.nms.lcs.mit.edu/papers/nsdi13-sprout.pdf">SPROUT</a>. If you want to read more about the history and status of congestion control standards you can read this very <a href="https://blog.mozilla.org/webrtc/what-is-rmcat-congestion-control/">interesting post from Randell Jesup</a>.<br />
<br />
<b>From the very beginning of WebRTC, the media engine (that is built by Google but included in both Chrome and Firefox) was based on the concept of remote bandwidth estimation.</b> As explained before the receiver of the traffic analyzes the inter-packet delay and generates an estimation of the available bandwidth that is reported back to the sender using RTCP messages with a new message type that was defined for this purpose: <a href="https://tools.ietf.org/html/draft-alvestrand-rmcat-remb-03">REMB</a>. Another detail of WebRTC implementation is that the sender will use not only this bandwidth estimation received in the REMB packet but also the packet loss feedback to decide the final value of the target video bitrate to be sent.<br />
<br />
<span style="font-family: "courier new" , "courier" , monospace; font-size: x-small;"><b>Sender pseudocode</b> (<span style="font-size: xx-small;">send_side_bandwidth_estimation.cc</span>)<b>:</b></span><br />
<span style="font-size: xx-small;"><span style="font-family: "courier new" , "courier" , monospace;"><b style="font-size: x-small;"> </b><span style="font-size: x-small;">onFeedbackFromReceiver(</span></span><span style="font-size: x-small;"><span style="font-family: "courier new" , "courier" , monospace;">lossRate</span><span style="font-family: "courier new" , "courier" , monospace;">):</span></span></span><br />
<span style="font-family: "courier new" , "courier" , monospace; font-size: xx-small;"> </span><span style="font-family: "courier new" , "courier" , monospace; font-size: x-small;">if (lossRate < 2%) video_bitrate *= 1.08</span><br />
<span style="font-family: "courier new" , "courier" , monospace; font-size: xx-small;"> </span><span style="font-family: "courier new" , "courier" , monospace; font-size: x-small;">if (lossRate > 10%) video_bitrate *= (1 - 0.5*lossRate)</span><br />
<span style="font-size: xx-small;"><span style="font-family: "courier new" , "courier" , monospace;"><span style="font-size: xx-small;"> </span><span style="font-size: x-small;">if (video_bitrate > bwe) </span></span><span style="font-size: x-small;"><span style="font-family: "courier new" , "courier" , monospace;">video_bitrate =</span><span style="font-family: "courier new" , "courier" , monospace;"> bwe</span><span style="font-family: "courier new" , "courier" , monospace;">;</span></span></span><br />
<span style="font-family: "courier new" , "courier" , monospace;"><br /></span>
<span style="font-family: inherit;">The nice consequence of that implementation is that it reduces bitrate quickly when overuse is detected while slowly increasing bitrate when no congestion is detected.</span><br />
<span style="font-family: "courier new" , "courier" , monospace;"><br /></span>
<b>But in recent versions of Chrome this has changed and now the whole bandwidth estimation logic happens in the sender side.</b> The basic detection of congestion is not very different from how it was before and the sender needs delay information from the receiver side in order to be able to estimate the available bandwidth. This is accomplished with two new mechanisms/protocols:<br />
<br />
<b>1. Transport wide sequence numbers header extension:</b> All the video RTP packets carry an extra 4 bytes in the header to include a sequence number. This is negotiated in the SDP with the following line:<br />
<br />
<span style="font-family: "courier new" , "courier" , monospace; font-size: x-small;">a=extmap:5 http://www.ietf.org/id/draft-holmer-rmcat-transport-wide-cc-extensions-01</span><br />
<span style="font-family: inherit;"><i><br /></i></span>
<span style="font-family: inherit;"><i>Note: the idea of this new sequence number is to be able to use a single counter for both audio and video but Chrome still doesn't use it for audio, so I think it is not very useful yet</i></span><i style="font-family: inherit;">.</i><br />
<i style="font-family: inherit;"><br /></i>
<br />
<span style="font-family: inherit;"><b>2. Transport Feedback:</b> The receiver side sends periodic feedback to the media sender with information about the packets received and the the delay between them. To do this the receiver uses a new RTCP Packet (Transport Feedback). This feature is negotiated in the SDP with this line including the new RTCP feedback message:</span><br />
<span style="font-family: inherit;"><br /></span>
<span style="font-family: "courier new" , "courier" , monospace; font-size: xx-small;">a=rtcp-fb:100 transport-cc</span>
<br />
<br />
When looking at how is this transport feedback packet looks like it is funny to realize that there is a <a href="https://tools.ietf.org/html/draft-holmer-rmcat-transport-wide-cc-extensions-00">specification with Google's proposal</a> and an <a href="https://www.ietf.org/id/draft-dt-rmcat-feedback-message-01.txt">official standardization proposal</a> but the only source of truth is the <a href="https://chromium.googlesource.com/external/webrtc/+/master/webrtc/modules/rtp_rtcp/source/rtcp_packet/transport_feedback.cc">real implementation in the source code</a>.<br />
<br />
This RTCP feedback is sent every 100 msecs by default but it is dynamically adapted to use 5% of the available bandwidth (min value is 50 msecs and max is 250 msecs).<br />
<br />
The format of this new RTCP packet is very concise to minimize the size, including grouping packets in chunks, storing numbers as base + diff or reducing granularity to 0.25 msec intervals. I did a simple test and even with these improvements it was still using 16Kbps sending feedback packets every 50 msecs (Figure 2).<br />
<pre></pre>
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<pre><span style="font-family: "courier new" , "courier" , monospace; font-size: x-small;"><i>
</i></span></pre>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhqOC5gIdFR_NL0A3W95NaY8oh7x7MI4dGdcyYM1RSPpFJLoNprEwhZHgrslC9WphVq0JgxohVT0uWxSDm3OTErxMpyoQ9AneAoYcIZ6aWEjoMj-jkGoPl5tXTapGFikTiwW8vcnpEO7Bw/s1600/Screen+Shot+2017-01-29+at+12.38.58+AM.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="142" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhqOC5gIdFR_NL0A3W95NaY8oh7x7MI4dGdcyYM1RSPpFJLoNprEwhZHgrslC9WphVq0JgxohVT0uWxSDm3OTErxMpyoQ9AneAoYcIZ6aWEjoMj-jkGoPl5tXTapGFikTiwW8vcnpEO7Bw/s320/Screen+Shot+2017-01-29+at+12.38.58+AM.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2: Bandwidth used in RTCP Transport Feedback Messages</td></tr>
</tbody></table>
<span style="font-family: inherit;"><i>You can take a look at the implementation in <a href="https://chromium.googlesource.com/external/webrtc/+/master/webrtc/modules/remote_bitrate_estimator/remote_estimator_proxy.cc">remote_estimator_proxy.h</a> (generating the packets) and <a href="https://chromium.googlesource.com/external/webrtc/+/master/webrtc/modules/rtp_rtcp/source/rtcp_packet/transport_feedback.cc">transport_feedback.cc</a> (serialization).</i></span>
<br />
<span style="font-family: inherit;"><i><br /></i></span>
<b>What is good about sender side bandwidth estimation?</b> The theory <a href="https://groups.google.com/d/msg/discuss-webrtc/ZyKcu3E9XgA/hF0saddeLgAJ">as explained by Google</a> is that this way all the decision logic is in a single place (the sender) and that it makes it possible to test new algorithms easily because you don't depend on both endpoints. Honestly given that browsers auto update I don't see the big advantage of this point but it is certainly cleaner even if it is more expensive in bandwidth usage. The other advantage is that the sender knows the type of traffic he is sending and can use a different algorithm when sending normal video than when doing a screencast for example.<br />
<br />
<b>Are we affected?</b> If you are building a media server that requires bandwidth estimation for anything (for example to decide the quality to forward when using simulcast) you will need to upgrade your implementation at some point. The good news is that Chrome will have to support the old mechanism (REMB) for a while, at least until Firefox includes support for it. But REMB probably won't get more improvements and it is more likely to have bugs now so probably not a good idea to postpone the change much.<br />
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<b>Is sender side bwe really better?</b> I did a quick test (<a href="https://jsfiddle.net/u5ux9pxo/">this is the test page where you can try one or the other changing a boolean</a>) with both algorithms in Chrome (old REMB vs new Transport Feedback) and the new one performed way better at least regarding ramp-up time at the beginning of the connection (see figures below). I don't think there is a technical reason for that apart from the fact that Google is now focused on the new one and not the old one and all the new improvements are probably only in the new algorithm. Apparently there is something in the new code to handle in a special way the bwe during the first 2 seconds but I didn't investigate it much.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEicseGb9oXTEs1j_lma8tC7sPmuc5xTKNhD8g95mOzJyVFtG6yMUwY-iclLofGsNd2HURveztn6bdT10EDr2xbDaggDWWkPkiCgouOAcIRDtiMxZv65TW-EpI4-C31-q17ToWXvNyAFs4E/s1600/Screen+Shot+2017-01-29+at+7.29.16+PM.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="182" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEicseGb9oXTEs1j_lma8tC7sPmuc5xTKNhD8g95mOzJyVFtG6yMUwY-iclLofGsNd2HURveztn6bdT10EDr2xbDaggDWWkPkiCgouOAcIRDtiMxZv65TW-EpI4-C31-q17ToWXvNyAFs4E/s320/Screen+Shot+2017-01-29+at+7.29.16+PM.png" width="240" /></a>
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNTZdNFQjBdqHTd-Q8J92bu76OlTjTkGqUHG632h71oQbnPVRdvo0ozaaJwV5THFbSOD-IHN-75N79b9SLtB14PChowvw2Th8JoMukgiAj-WsKlM_0RhGK60nmmNxRD2G8eV2KacP0JtI/s1600/Screen+Shot+2017-01-29+at+7.30.10+PM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="192" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNTZdNFQjBdqHTd-Q8J92bu76OlTjTkGqUHG632h71oQbnPVRdvo0ozaaJwV5THFbSOD-IHN-75N79b9SLtB14PChowvw2Th8JoMukgiAj-WsKlM_0RhGK60nmmNxRD2G8eV2KacP0JtI/s320/Screen+Shot+2017-01-29+at+7.30.10+PM.png" width="240" /></a><br />
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<b>Who is working on this and what is the status?</b> Sender side bandwidth estimation is the default in Chrome 55 but this is still work in progress and we should expect many changes. The official standardization is happening in IETF in the <a href="https://datatracker.ietf.org/wg/rmcat/documents/">RMCAT group</a> but most of the implementation available in Chrome is Google's own version of the in-progress specifications for algorithms and feedback protocols. <br />
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<i>* Chrome is planning to use bandwidth estimation also to decide the audio bitrate to send (<a href="https://bugs.chromium.org/p/webrtc/issues/detail?id=5079">Planned for version 58</a>).</i><br />
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<i>You can <a href="https://twitter.com/anarchyco">follow me in Twitter</a> if you are interested in Real Time Communications.</i>Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com108tag:blogger.com,1999:blog-460321274846352896.post-68946334674656803042017-01-10T15:37:00.002-08:002017-01-11T16:14:24.625-08:00Using DSCP for WebRTC packet marking and prioritizationIt is a common request from WebRTC developers and customers to know how they can differentiate WebRTC traffic from other type in their networks. Usually the goal is to be able to prioritize RTC traffic over other types of less important traffic.<br />
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By prioritizing the WebRTC traffic in the edge routers it is possible to improve the quality in some network <a href="https://tools.ietf.org/html/draft-ietf-tsvwg-rtcweb-qos-18#section-2">scenarios</a>. The most common cases where this marking may help are:<br />
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<ul>
<li>Congested broadband uplink where the router can discard other type of traffic instead of WebRTC traffic when queues get full.</li>
<li>Congested local wireless network</li>
</ul>
One obvious way to do this is forcing all the traffic to be relayed through a TURN or SFU server and se the priority based on IP addresses. That's easy and always work, but the problem is that it is very difficult to maintain when your infrastructure changes often (scaling elastically, new datacenters...).<br />
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Other way to accomplish this is to use <span style="font-size: 13.3333px;">Differentiated Services Code Point (DSCP) marking. With DSCP you can use</span> a specific field (6 bits) in the IP header to mark different classes of traffic. This field can carry any arbitrary value that you can associate in your routers with different forwarding treatments (priorities).<br />
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Even if any value can be used in that DSCP field, there are some <a href="https://en.wikipedia.org/wiki/Differentiated_services">commonly used DSCP values</a>, and there are some recommended values to be used for WebRTC endpoints in this <a href="https://tools.ietf.org/html/draft-ietf-tsvwg-rtcweb-qos-18">IETF draft</a>. <br />
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Nowadays this is supported by Chrome and can be enabled with a proprietary constrain passed to the PeerConnection:<br />
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<span style="font-family: "courier new" , "courier" , monospace;"><span style="font-size: x-small;">new RTCPeerConnection({"iceServers": []}, { optional: [{ <b>googDscp</b>: true }] });</span></span></div>
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When enabled the DSCP field in the IP packets sent by Chrome has the value 34 (aka Assured Forwarding 41 or AF41) for both audio and video as you can see in the next figure. While the default value is 0 (Default Forwarding).<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg-Q6S9IelpixCDGHnNyWV8gKaA_y50CI6ruVJn3vL1PP5oVoi2EnSEhSBh0PenbnnmBPeLRyVDLe2NkuEwD1heU19gvCMOgW4DdzXl9Qk1tmyHG-ROnekOglFlEFnIOaF0_wfOw2Zkg_o/s1600/Screen+Shot+2017-01-11+at+12.22.33+AM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="184" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg-Q6S9IelpixCDGHnNyWV8gKaA_y50CI6ruVJn3vL1PP5oVoi2EnSEhSBh0PenbnnmBPeLRyVDLe2NkuEwD1heU19gvCMOgW4DdzXl9Qk1tmyHG-ROnekOglFlEFnIOaF0_wfOw2Zkg_o/s640/Screen+Shot+2017-01-11+at+12.22.33+AM.png" width="640" /></a></div>
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This is the full demo page if you want to test it yourself: https://jsfiddle.net/omzyh5dm/5/<br />
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Disclaimer: This is not working in WebRTC in case of <a href="https://bugs.chromium.org/p/webrtc/issues/detail?id=5658">Android</a> and <a href="https://bugs.chromium.org/p/webrtc/issues/detail?id=4951">iOS</a> and at least <a href="https://bugs.chromium.org/p/webrtc/issues/detail?id=5836">some versions of Windows</a> but those issues should be fixed at some point based on the comments on the open tickets.<br />
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One question is why this "feature" is not enabled by default and all the packets are marked with the recommended DSCP values. The main reason is because some routers could block packets with specific DSCP values as explained <a href="https://tools.ietf.org/html/draft-ietf-rtcweb-transports-17#section-4.2">here</a>, so it should be enabled only when you know that it is not going to be blocked in the network where your customers are at least until browsers implement mechanisms to discover those blocked packets and disable it automatically.<br />
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<span style="background-color: white;"><span style="font-family: inherit;">Links:</span></span></div>
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<ul>
<li>Differentiated services : https://en.wikipedia.org/wiki/Differentiated_services</li>
<li>DSCP Packet Markings for WebRTC QoS https://tools.ietf.org/html/draft-ietf-tsvwg-rtcweb-qos-18#section-2</li>
<li>DSCP Transport considerations: https://tools.ietf.org/html/draft-ietf-rtcweb-transports-17#section-4.2</li>
<li>Test Page: https://jsfiddle.net/omzyh5dm/5/</li>
</ul>
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<i>You can <a href="https://twitter.com/anarchyco">follow me in Twitter</a> if you are interested in Real Time Communications.</i></div>
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Gustavo Garciahttp://www.blogger.com/profile/09231386351348682181noreply@blogger.com2