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Multi-Objective optimized Complexity Control for the AV1 Video Encoder | IEEE Conference Publication | IEEE Xplore

Multi-Objective optimized Complexity Control for the AV1 Video Encoder


Abstract:

AOMedia Video 1 (AV1) is an open-source video encoding format launched in 2018 by Alliance for Open Media. To achieve high coding efficiency, AV1 brings significant innov...Show More

Abstract:

AOMedia Video 1 (AV1) is an open-source video encoding format launched in 2018 by Alliance for Open Media. To achieve high coding efficiency, AV1 brings significant innovations in comparison to its predecessor, the VP9 format. However, this came at the cost of a higher encoding complexity due to the newly introduced tools and block partitioning structures. To allow for wide deployment of AV1 in different multimedia devices, adjusting its encoding process according to the available computational resources is strongly desirable. Thus, this work presents an adaptive complexity controller for the AV1 encoder based on multi-objective optimization. Experimental results show that the proposed controller reduces encoding complexity in a target range from 10% to 40%, with satisfactory precision varying between 0.04 and 4.10 percentage points, and a BD-Rate between 0.22% and 5.24%.
Date of Conference: 07-09 December 2022
Date Added to IEEE Xplore: 20 January 2023
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Conference Location: San Jose, CA, USA

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