Netflix and Intel to Deploy AV1 CODEC For Content Streaming
At The National Association of Broadcasters Show today, Intel and Netflix announced a new high-performance video codec that is available as open source and royalty-free to content creators, developers and service providers. Scalable Video Technology for AV1 (SVT-AV1) offers performance and scalability in video processing.
AV1 is a royalty-free codec and offers improved compression compared to vp9 or hevc, the video bandwidth reduction can run upwards to 30 to 40 percent, without you seeing a difference. The best thing yet, this is a royalty-free model.
Modernization of video software codecs for increased efficiency will help deliver rich user experiences and reach global scale, accelerating time to market and lowering costs for developers and service providers. SVT-AV1 is a software-based scalable codec offering the best trade-offs among performance, latency and visual quality when working with visual cloud workloads. SVT-AV1 performance advantages are based on the SVT architecture, which is a cohesive and highly optimized codec architecture that already has delivered multiple generations of codecs, including SVT-HEVC, SVT-VP9 and SVT-AV1. The new SVT-AV1 codec is unique in that it allows encoders to scale their performance levels based on the quality and latency requirements of the target applications — ranging from highest quality video on demand (VOD) to livestreaming use cases. The high-quality encoding and decoding in SVT-AV1 will enable developers working with visual cloud workloads to get them to market faster. The codec is optimized for video encoding on Intel Xeon Scalable processors.
What Netflix Says: “The SVT-AV1 collaboration with Intel brings an alternative AV1 solution to the open-source community, enabling more rapid AV1 algorithm development and spurring innovation for next-generation video-compression technology,” said David Ronca, director of Encoding Technologies, Netflix.
Even More News: In addition, Intel launched the Open Visual Cloud, an open-source project that includes a set of use case-optimized reference pipelines for visual workloads. These developer-ready pipelines are based on open-source media, artificial intelligence (AI) and graphics software ingredients. They support the most popular open-source frameworks that developers are familiar with. SVT, the OpenVINO™ Toolkit and the Intel® Rendering Framework are all part of the Open Visual Cloud, bringing highly optimized open source encode/decode, inference and graphics together as an interoperable reference for services innovation. The first two pipelines enable services for content delivery network (CDN) transcode VOD streaming and intelligent ad insertion.
Intel will demonstrate cloud graphics and immersive media pipelines in development at NAB. Additional reference pipelines will be released on a quarterly basis.
How You Access It: The SVT-AV1 codec is available under a permissive BSD+Patent license, which will make it easy to adopt and commercialize. Developers can access SVT-AV1 at 01.org/OpenVisualCloud/svt. The Open Visual Cloud reference pipelines and building blocks for encode/decode, inference and render can be found on 01.org/OpenVisualCloud.
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Senior Member
Posts: 7155
Joined: 2012-11-10
last i saw measurements done, this codec was only capable of single threaded decoding and that limits your device coverage to the top end parts with high single core ipc.
https://www.phoronix.com/scan.php?page=news-item&px=SVT-AV1-Speed-Progress
this decoders developing quickly, it was single threaded last i looked o.o
The article you linked to is ENcoding... Encoding is always substantially slower. Intel's AV1 decoder isn't yet available, as the header of this article clearly states.
Fox2232 is right: decoding doesn't take that much CPU power. Even a crappy ARM CPU can decode 4K videos above 30FPS.
Junior Member
Posts: 1
Joined: 2019-04-09
One of the authors of the decoder here - dav1d has always been multi-threaded. See the original presentation at VDD where I talked about the multiple types of multithreading used in the decoder, why that is special and why it makes it so much more fast than other implementations that only use a single type of threading.
With dav1d, decoder performance has become a non-issue. It is solved. The next step in the toolset generation for AV1 is to reduce power consumption, i.e. hardware decoders, in particular for mobile devices such as laptops and phones to enhance battery life and reduce heat generation; and faster/better encoders, in particular when it comes to visual quality.
Senior Member
Posts: 1491
Joined: 2011-02-17
Forcing AV1 on youtube's testtube and trying the Halo Infinite trailer in 1080p, it stutters alot on both my Phenom II X4 and A10 8700p. That's using Firefox and Chrome, Edge says it doesn't support AV1 playback.
My Nexus 7 tablet couldn't play HEVC 1080p samples smoothly back when I tried it.
Senior Member
Posts: 11808
Joined: 2012-07-20
Forcing AV1 on youtube's testtube and trying the Halo Infinite trailer in 1080p, it stutters alot on both my Phenom II X4 and A10 8700p. That's using Firefox and Chrome, Edge says it doesn't support AV1 playback.
My Nexus 7 tablet couldn't play HEVC 1080p samples smoothly back when I tried it.
That's actually funny considering that I have somewhere seen that MS did release their AV1 decoder too.
Senior Member
Posts: 876
Joined: 2009-03-02
I have not tried recently but mid-march LAV filters (which MPC is based on) were updated to use dav1d:
NEW: Using the dav1d AV1 decoder for significantly improved AV1 decoding performance
https://github.com/Nevcairiel/LAVFilters/releases
So maybe I should retry