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Text of the page (random words):
itigate this problem several player side algorithms have been proposed and tested through a common test framework we have adapted the test environment in order to test a server side approach wherein the server decides about the video segment s bitrate quality relying on bandwidth estimation relying on the underlaying transport layer s congestion control e g bbr several test campaigns have shown the merits of the server side approach beating the best client side algorithms in my presentation i introduce the basics of the server side abr approach in particular how it fits with standard client side approach such as mpeg dash i give details of the test bed and present the measurement results comparing with the best known client side algorithms hadi amirpour universität klagenfurt live is life per title encoding for live video workflows while live video streaming is expected to continue growing at an accelerated pace one potential area for optimization that has remained relatively untapped is the use of content aware encoding to improve the quality of live contribution streams for those who have tried it has been quite challenging due to the additional latency that complexity analysis adds to the streaming framework however it merits further investigation as optimizing live video coding workflows may result in i decreased storage or and delivery costs and ii increased qoe in this talk we introduce a revolutionary video complexity metric that operates in real time and enables the adoption of per title encoding among others for live video workflows we will explain and illustrate the key components of this metric and highlight the open source repository including how video developers can utilize it for their video workflows finally we will present selected applications i e per title encoding among others and showcase their performance compared to state of the art techniques for live video workflows video developers will gain a deep understanding of video complexity how to extract it in real time and how to use it in live video workflows jean baptiste kempf videolan updates from the open source multimedia community one year after last demuxed we will share updates from the open source multimedia community we will notably speak about the releases of ffmpeg 5 0 5 1 what they contain as features and improvements and compare them to what was scheduled we ll notably talk about the api additions of the 5 1 release we ll then speak about the new features that are being worked on for ffmpeg 6 0 and the releases schedule updates about dav1d and notably with the version 1 0 0 will be shared too with an emphasis on performance testing and what are the potential improvements to av1 decoding that will come finally we ll speak about other open source libraries like x264 and placebo and their updates for this year joey parrish upfish scripted audio manipulation for streaming media in 2004 brad neeley released an alternate audio track to turn the first harry potter movie into wizard people dear reader a hilarious retelling in which harry and friends drink and swear a lot this off color riff tracks esque release enjoyed many years of being passed around on cds and dvds only to die out in the era of streaming as physical media became old fashioned upfish is a magical open source browser extension that uses the webaudio api to bring wizard people back to life on the streaming site of your choice just stream harry potter and enable the wizard people script in the extension et voila you get the original audio karaoke d on the fly to remove the actors voices and brad neeley s dulcet tones laid over the original score watch as harry the wretched harmony and ronnie the f ing bear battle sick ass draculas to rule the school then finish the evening with a nightcap a 2 minute chapter to give you a taste https www youtube com watch v bb9_ucnnbtc but upfish is more than that with an open scripting format for audio manipulation you can publish your own riff tracks style soundtracks to anything you want in addition to the custom scripting options the extension comes with a built in script for generic karaoke filtering on anything a script to turn harry potter into wizard people and one more to hack the classic alfred hitchcock film vertigo into fartigo in which jimmy stewart has gas every time he gets scared or happy or bored available now https upfish fans kieran kunhya open broadcast systems live video at 150 miles per hour motor racing is a technically challenging sport and getting onboard video from racing cars at 150 miles per hour is a massively complicated problem heat vibration power speed to say the least this presentation will explain these challenges how we solved them in order to obtain some of the most exciting and dramatic footage possible in sport and how 5g will significantly change the way onboard racing video can be produced it will show how we have delivered reliable onboard video at several world famous racetracks leon lyakovetsky podium why video captioning needs built in viewer feedback in 2022 and how we do it we ve all heard the hype excitement and fear of how ai systems are getting smarter smarter developing sentience and generally taking over the world creating a future of subjugation and despair for the human race however i am fairly confident that this bleak picture is not in our near future because there is one major problem ai doesn t even understand us that well anyone that has used voice recognition on their phone or in their car will recognize that speech to text technology still has a long way to go in the video world this is nowhere more obvious than in auto generated video captioning while auto generated captions are better than no captions at all incorrect spellings wrong words bad punctuation and misplaced phrasing breaks among other discrepancies mean that human review and improvement is still needed for captions to accurately represent what is said and heard in videos if you re watching a video for any long length of time and are not noticing any errors that is thanks to human review accuracy in captioning is not a trivial matter since captioning errors are not just a minor annoyance ada accessibility compliance demands 99 accurate captions speaker labels and phrase breaks among other features that none of the auto generated captioning services on the market today meet yet most auto generated caption errors can be improved by far more people than only costly transcribers that s why i propose that while the speech recognition wizards keep improving their methods and services it is on us video engineers to allow interested viewers those who are already watching and interested in fixing errors they see the chance to easily give feedback to improve transcriptions of both recorded and live video the goal of this is to increase accuracy and watchability for fellow viewers while also giving the machines better and better data to keep on improving in this talk i will give a brief review of current speech to text technology where it is limited and why it will be limited until completely new techniques come along then i will outline both high level ideas and actionable steps for video developers to add more feedback systems into their video players this includes a demo that proposes updates to video player uis for viewers to be able to easily give feedback a backend that handles the inputs of an open ended crowdsourced system in a productive manner and updates to the caption file formats we use to capture this feedback effectively one day in the future every video will be captioned 100 correctly by automation but until that day its on us to incorporate simple feedback systems so that every video has the chance to be captioned correctly marc höppner akamai a content owner a cdn and a player walk into a bar rebuffering since the 1950s we ve landed a man on the moon sequenced the human genome put a rover on mars and developed self driving cars why do we still have rebuffering in 2022 content owners blame the cdn and the player the cdn blames the content owner and the player and the player blames the cdn and the content owner let s stop the blame game and have a mutual look at the data we have analyzed massive amounts of data over a time period of more than 2 months for each day we have analyzed 15 billion client to edge requests for more than 10 million streaming sessions per day we ve focused on a vod multi cdn setup with ad insertion based on a combination of client side quality of experience data by common media client data and server side quality of service data we have classified buffer starvation events we categorize them into buckets for where they could be prevented 1 at the player 2 at the last mile 3 at the cdn origin or 4 at the workflow level leveraging the learnings from this unique data set enables us to significantly reduce end users rebuffering by taking advantage of the interplay of the player the cdn and of the workflow a content owner a cdn and a player walk into a bar and the user has a great streaming experience mission accomplished mario guggenberger bitmovin a journey from manual to fully automatic video player testing manually testing the functionality of a video player takes time and when a growing set of features and supported platforms leads to an exploding demand for test executions that cause a bottleneck in your development process it is time to reconsider i will tell the story of how bitmovin s test automation team incrementally transformed tedious manual testing into a fully automated system that executes 150 000 player tests and customer stream conformance tests every day on a worldwide distributed fleet of desktop computers smartphones smart tvs gaming consoles and streaming sticks more specifically i will discuss writing a test framework handling test results and flaky tests unified cross platform execution device selection software and hardware automation platform quirks sdlc integration remote device usage getting through lockdowns without interruption and how we expose the system even to our customers mattias buelens theo baby s first html5 video element an html5 player for hls or mpeg dash uses the html5 video element and the media source extensions api to buffer fragmented mp4 segments and play them out as a smooth video stream but what actually goes on behind the scenes of these web apis what happens when you play or seek the video and how does the video element maintain smooth playback without dropping frames in this talk i ll use the webcodecs and canvas apis as low level building blocks to rebuild parts of the video and mse apis using that implementation i ll walk through some interesting bits of the playback and buffering logic and explain what a streaming video player should look out for when using these apis some of the topics that i ll cover include how seeking works how the gop size affects how fast you can seek and why you should always put a keyframe at the start of each fmp4 segment how quality switching works and why you should try to align your segment boundaries across all qualities how mse manages the size of its buffer and what a player can do to keep this size under control nicolas levy qualabs emil santurio qualabs how we scaleup the next generation of us learning video and a de light ful player in the last 12 months at qualabs we had to train 50 new video engineers challenging us to systematize the way of training newcomers to face this challenge we created scaleup a team designed to ramp up technical video knowledge and teamwork using the methodology of learning by doing developing video engineers is a challenge that we all share in the industry at demuxed 2020 alexandria shealy and kevin fuhrman introduced this topic in the talk growing the next generation of us in this opportunity we will talk about how we have improved the way we develop our next generation and the lessons we have learned by doing this we will review various iterations from hey read this tutorial and tell me what you learned to today where the real learning comes from real projects stories running custom designed projects and feedback feedback and more feedback in addition we will present the de ligth ful player an open source player created by scaleup batch inspired by phil cluff s smell o vision from demuxed 2021 we will see it as an example of how to design the learning path how to use the aha moments the methodology we use during the execution and of course a de light ful demo peter howard practical applied strategy video remixing at the edge webassembly enabling compute at the edge is changing the way we design and deploy digital content and products and will up end lots of video delivery use cases i argue that we should think of using edge computing as a remix layer enabling new levels of personalisation to deliver more engaging video experiences in this session i ll share some examples of how this works and talk to the ways we need to think about designing content and more particularly content fragments to enable these new experiences peter tseng eluvio qingyuan liu eluvio ffmark an open framework for forensic watermarking how hard can it be to hide some bits in a video long story short we started a free and open source project the open framework for forensic watermarking in the beginning we tested and compared various video watermarking techniques including frequency domain algorithms and a machine learning model based on metrics like performance imperceptibility and robustness against attack we also looked into commercial solutions but they were not flexible enough for some of our use cases such as the just in time insertion of per user watermarks for content distribution given the dearth of existing open source projects we decided to start one ourselves initially our main implementation is for the dtcwt dual tree complex wavelet transform algorithm but we hope to have implementations of many other methods that the user can choose from we want to build a framework that is equally useful to researchers developers and content operators hopefully we re not offmark steve robertson google color grading hdr last time we talked at a high level about the challenges facing the consumer hdr ecosystem now let s get specific here are our recommendations for exactly how to produce hdr content workflow lighting conditions how to grade on a macbook rules of thumb eotfs what looks good and bad deliverable file formats all backed up by testing and years of experience lionel bringuier videon taking the headache out of timed metadata for live video the trend to merge video and time metadata is now mainstream but inherent challenges still exist when it comes to merging multiple live video feeds with multiple sources of timed metadata in the media and entertainment m e space for example captioning digital rights management and synching multiple live streams with multiple cameras are a few among others this...