
Proceedings Paper
The SVT-AV1 encoder: overview, features and speed-quality tradeoffsFormat | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 21 August 2020
PDF: 22 pages
Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 1151021 (21 August 2020); doi: 10.1117/12.2569270
Published in SPIE Proceedings Vol. 11510:
Applications of Digital Image Processing XLIII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)
PDF: 22 pages
Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 1151021 (21 August 2020); doi: 10.1117/12.2569270
Show Author Affiliations
Faouzi Kossentini, Intel Corp. (Canada)
Hassen Guermazi, Intel Corp. (Canada)
Nader Mahdi, Intel Corp. (Canada)
Chekib Nouira, Intel Corp. (Canada)
Amir Naghdinezhad, Intel Corp. (Canada)
Hassen Guermazi, Intel Corp. (Canada)
Nader Mahdi, Intel Corp. (Canada)
Chekib Nouira, Intel Corp. (Canada)
Amir Naghdinezhad, Intel Corp. (Canada)
Hassene Tmar, Intel Corp. (Canada)
Omar Khlif, Intel Corp. (Canada)
Phoenix Worth, Intel Corp. (Canada)
Foued Ben Amara, Intel Corp. (Canada)
Omar Khlif, Intel Corp. (Canada)
Phoenix Worth, Intel Corp. (Canada)
Foued Ben Amara, Intel Corp. (Canada)
Published in SPIE Proceedings Vol. 11510:
Applications of Digital Image Processing XLIII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)
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