Presentation + Paper
21 August 2020 The SVT-AV1 encoder: overview, features and speed-quality tradeoffs
Faouzi Kossentini, Hassen Guermazi, Nader Mahdi, Chekib Nouira, Amir Naghdinezhad, Hassene Tmar, Omar Khlif, Phoenix Worth, Foued Ben Amara
Author Affiliations +
Abstract
The Scalable Video Technology AV1 (SVT-AV1) encoder is an open-source software AV1 encoder that is architected to yield excellent quality-speed-latency tradeoffs on CPU platforms for a wide range of video coding applications. The SVTAV1 encoder is based on the SVT architecture, which supports multi-dimensional parallelism, multi-pass partitioning decision, multi-stage/multi-class mode decision, and multi-level spatiotemporal prediction and residual coding algorithms. Given a latency constraint, the SVT-AV1 encoder maximizes the CPU utilization on multicore CPUs, through picturebased parallelism for high-latency video applications, and through segment-based parallelism for low-latency video applications. The picture-level/segment-level parallelism allows the SVT-AV1 encoder to produce identical bit streams, irrespective of whether single- or multi-threaded encoding is performed. In mode decision, the SVT-AV1 encoder yields many speed-quality tradeoffs with high granularity, mainly through multi-pass processing of each superblock and multistage/ multi-class processing of each block, and through the different levels of the prediction/coding features. The resulting speed-quality tradeoffs of SVT-AV1 are compared, in Video-On-Demand (VOD) use-cases, to those of libaom (another open-source AV1 encoder), and to those of the latest x264 (AVC), x265 (HEVC) and libvpx (VP9) open source encoders.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Faouzi Kossentini, Hassen Guermazi, Nader Mahdi, Chekib Nouira, Amir Naghdinezhad, Hassene Tmar, Omar Khlif, Phoenix Worth, and Foued Ben Amara "The SVT-AV1 encoder: overview, features and speed-quality tradeoffs", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 1151021 (21 August 2020); https://doi.org/10.1117/12.2569270
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Video

Distortion

Image processing

Video coding

Video processing

Video compression

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