Performance and Computational Complexity Analysis of Coding Tools in AVS3

Fan, Kui; Cai, Yangang; Gao, Xuesong; Chen, Weiqiang; Wu, Shengyuan; Wang, Zhenyu; Wang, Ronggang; Gao, Wen

doi:10.1109/icmew46912.2020.9106018

Cited by 10 publications

(2 citation statements)

References 5 publications

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“…Experimental result shows that AVS3 can achieve 26.88% Bjøntegaard Delta Bit Rate (BDBR) saving compared with HEVC [3]. However, due to the application of the sophisticated coding tree structure and other time-consuming coding tools, the coding complexity of AVS3 is 7 times as much as HEVC [4].…”

Section: Introductionmentioning

confidence: 99%

Fast CU Partition Decision Algorithm for AVS3 Intra Coding

Liu

Wang

et al. 2021

IEEE Access

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Section: Introductionmentioning

confidence: 99%

Fast CU Partition Decision Algorithm for AVS3 Intra Coding

Liu

Wang

et al. 2021

IEEE Access

Self Cite

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“…The third generation of Audio Video coding Standard (AVS3) is developed by the AVS working group and aims to fulfill the requirement of 8K video transmission with the emerging 5G infrastructure. The baseline profile of AVS3 was finalized at the 68th AVS meeting in March 2019, and the high profile is expected to be issued in 2021 [4]. The reference software for AVS3, named High-Performance Model (HPM), is available at [5].…”

Section: Introductionmentioning

confidence: 99%

Depth Map Video Compression Performance Evaluation For Ieee 1857.9

Cai

Wang

Qiu

et al. 2021

2021 IEEE International Conference on Multimedia &Amp; Expo Workshops (ICMEW)

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In 6 Degrees of Freedom (6DoF) Video, it provides 360 video considering both user's head and body movement. In IEEE 1857.9 6DoF video expression, synthesizing the virtual view in accordance with the user's movement is required. During the view synthesis process, the reference software provided by IEEE 1857.9 requires a depth map as auxiliary information. In order to reuse existing video coding standards and quickly apply them to the industry, IEEE 1857.9 provides four depth map compression interfaces for AVC, HEVC, AVS2, and AVS3(First stage HPM4.0). In addition, the depth information is never directly shown to the user. Thus, new comparison methods have to be developed that are adapted to the depth maps compression. In this paper, we investigate the depth video compression performance of the software encoders of H.264/AVC, H.265/HEVC, and AVS3 respectively. To ensure fair analysis, we evaluate the performance of the encoder by comparing the objective quality of the virtual synthetic view. We use the reference software of IEEE 1857.9 for synthesizing the virtual view. Regarding coding performance evaluation, PSNR and SSIM are used as objective quality metrics. According to the experimental results, which were obtained by using similar configurations for all examined representative encoders, the AVS3 reference software implementation provides significant average bit-rate savings of 63% and 19% compared to H.264/AVC and H.265/HEVC respectively.

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Fast Mode Decision Algorithm for Intra Encoding of the 3rd Generation Audio Video Coding Standard

Wang

Cai

et al. 2021

MultiMedia Modeling

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Performance and Computational Complexity Analysis of Coding Tools in AVS3

Cited by 10 publications

References 5 publications

Fast CU Partition Decision Algorithm for AVS3 Intra Coding

Fast CU Partition Decision Algorithm for AVS3 Intra Coding

Depth Map Video Compression Performance Evaluation For Ieee 1857.9

Fast Mode Decision Algorithm for Intra Encoding of the 3rd Generation Audio Video Coding Standard

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