The SVT-AV1 encoder: overview, features and speed-quality tradeoffs

Kossentini, F.; Guermazi, Hassen; Mahdi, Nader; Nouira, Chekib; Naghdinezhad, Amir; Tmar, Hassene; Khlif, Omar; Worth, Phoenix; Amara, Foued Ben

doi:10.1117/12.2569270

Cited by 15 publications

(12 citation statements)

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“…The SVT-AV1 encoder architecture and features are discussed in detail in [6]. In the following, a summary of the recent updates in the SVT-AV1 encoder is presented followed by an update on SVT-AV1 encoder performance based on the conventional DO approach.…”

Section: Performance Update For the Svt-av1 Encodermentioning

confidence: 99%

“…From a video encoder development perspective, the wide variety of the video processing applications mentioned above results in a wide range and sometimes conflicting quality-speed-latency-memory tradeoff requirements. To address this particular problem, the Scalable Video Technology (SVT) was developed recently to provide a seamless way of addressing the variety of video processing tradeoffs [6]. In particular, the SVT-AV1 encoder is an open source video encoder based on the AV1 specifications and was recently adopted by the Alliance for Open Media as the productization platform for the AV1 specifications [7] [8].…”

Section: Introductionmentioning

confidence: 99%

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Towards much better SVT-AV1 quality-cycles tradeoffs for VOD applications

Katsavounidis

Lei

et al. 2021

Applications of Digital Image Processing XLIV

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Software video encoders that have been developed based on the AVC, HEVC, VP9, and AV1 video coding standards have provided improved compression efficiency but at the cost of large increases in encoding complexity. As a result, there is currently no software video encoder that provides competitive quality-cycles tradeoffs extending from the AV1 highquality range to the AVC low-complexity range. This paper describes methods to further improve the SVT-AV1 overall quality-cycles tradeoffs for high-latency VOD applications.The paper first presents the latest SVT-AV1 encoder evaluation results generated using the conventional convex-hullbased evaluation approach. To better account for all the content being considered in the evaluation, the combined convex hull approach is then introduced and corresponding results outlined. A more practical version of the latter approach, referred to as the restricted discrete approach, is then presented. In this approach, only few discrete quality levels that are of relevance to typical adaptive streaming applications are considered. This restriction makes the evaluation data more relevant to real adaptive streaming applications and reduces the storage requirements for the encodings generated at the identified optimal encoder settings. A fast version of the latter approach is then presented, where the generation of the optimal encoder parameters is performed using a fast encoder, and the final encodings needed in the evaluation are generated using the desired encoder based on the identified optimal encoder parameters. These optimizations result in a complexity reduction by up to a factor of 10 for at most 1.5% loss in BD-rate.

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Section: Performance Update For the Svt-av1 Encodermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards much better SVT-AV1 quality-cycles tradeoffs for VOD applications

Katsavounidis

Lei

et al. 2021

Applications of Digital Image Processing XLIV

Self Cite

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“…All of this resulted in a need for a higher video compression efficiency and new format besides HEVC and VP9. Novel web applications and services require ultra low latency and properly allocated resources for video processing tasks [13].…”

Section: A Video Communication and Av1 Formatmentioning

confidence: 99%

“…AV1 encoder is an open source solution characterized by scalability having in mind applicability on multicore platforms, using different lengths of code words, latency trade-offs, and similar [1]- [2], [13]. While VP9 uses blocks of 64x64 pixels, AV1 introduces superblocks (SBs) of 128x128 pixels.…”

Section: B Av1 Format Characteristicsmentioning

confidence: 99%

“…It utilizes multicore CPU (Central Processing Unit) resources, and proves scalability from this point of view. Furthermore, scalability and efficiency for VoD and OTT services can be considered for SVT-AV1 from a multiresolution point of view, necessary for these applications/services [13]. Even though SVT-AV1 is a codec, the focus is on encoder design (SVT for AV1 encoder) [11].…”

Section: Svt-av1 Formatmentioning

confidence: 99%

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Quality assessment experiment for 4k SVT-AV1 video format

Gavrovska

Milivojević

Zajic³

2021

Telfor J

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The industrial consortium AOMedia has recently developed the AV1 (AOMedia Video 1) format considered as a successor of VP9. One of the main goals with the video coding and compression format is to enable efficient Web based video content delivery, as in the case of OTT (Over-the-top) services. Nowadays, there are different AV1 software implementations available for experimental analysis besides the reference tool libaom. The Scalable Video Technology for AV1, or SVT-AV1 CODEC, is oriented towards further optimizations for specific Intel hardware. In this paper, we have performed a video quality assessment experiment with some of the SVT-AV1 implementations using 4k like video. The results show the advantages of SVT-AV1 format, as well as its performance for different quantization factors.

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A Hitchhiker’s Guide to Structural Similarity

Venkataramanan

Bovik

et al. 2021

IEEE Access

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The SVT-AV1 encoder: overview, features and speed-quality tradeoffs

Cited by 15 publications

References 0 publications

Towards much better SVT-AV1 quality-cycles tradeoffs for VOD applications

Towards much better SVT-AV1 quality-cycles tradeoffs for VOD applications

Quality assessment experiment for 4k SVT-AV1 video format

A Hitchhiker’s Guide to Structural Similarity

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