This is an area where Intel® Iris® X e graphics stand out as a key enabler in achieving maximum performance.
#Quicksync async depth obs software
These efficiencies were realized by optimizing the usage of hardware encoding as well as software encoding via the integrated GPU. Intel® Quick Sync Video was released in 2010, and in the decade since its release, Intel has greatly improved the efficiency of the product. Intel® Iris® X e Graphics and Intel® Quick Sync Videoīased on our research, due to live streaming utilizing an immense amount of CPU power, we recommend instructors leverage a dedicated GPU as a hardware encoder. System stats can outline CPU performance and associated frame and bit rates
Bitrate, described more formally as the number of bits processed in a specified unit of time, is heavily dependent on the upload capabilities of the internet connection at a particular spot. Any additional programs may lower the quality of the live stream, causing both missed frames and skipped frames due to rendering lag.Īnother factor we need to consider in this space impacting user experience is bitrate.
#Quicksync async depth obs free
Since deep technology enablement is not typically a core competency for most fitness instructors, Mixpose was developed to bridge that gap and give instructors a tool to enable an AI powered fitness experience.Īccording to VideoLan*, x264 is “a free software library and application for encoding video streams into the H.264/MPEG-4 AVC compression format, and is released under the terms of the GNU GPL.” It is the most popular encoder that content creators use for live streaming but it is extremely resource intensive because you are encoding HD quality content in real time. As yoga and fitness classes sprout up online, the similarities between a YouTube video and a fitness class start to materialize - instructors become content creators.
However, if we drill down to the core of what ‘content’ is, it’s ultimately just an experience. When we think of what comprises ‘content’, yoga and fitness wouldn’t seem natural fits for the term. Driven by the popular, open-source streaming platform, OBS*, we are fully entrenched in a content creator revolution. Live streaming has taken the world by storm with video gaming streaming on Twitch* as well as podcasts on YouTube-Live*. We will now dive more deeply into those relevant technology enablers. Further down the roadmap, AI pose estimation would facilitate the engagement of students with each other.Ī number of technologies were required to help us achieve the previously stated goal. A platform that marries the best of both worlds would be the foundation on which we add AI pose estimation to help instructors engage more closely and frequently with their students. In the conceptualization of MixPose, the primary goal was to combine fully immersive content in HD with the real-time interaction capabilities of video conferencing.
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