The Complexity Optimization of Dependent Quantization in VVC by Delaying Starting Point

Shixuan Feng, Yifan Wang, Luge Wang, Fuzheng Yang, Shuai Wan

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Compared with the video compression standard High Efficiency Video Coding (HEVC), the latest standard Versatile Video Coding (VVC) has achieved great improvement in coding efficiency due to the application of more sophisticated coding tools, which also results in high coding complexity. In this paper, to reduce the computational complexity of dependent quantization in VVC, an optimization method based on theoretical analysis of rate-distortion performance and statistical low-complexity model establishment is proposed to delay the starting point of the quantized path. Experimental results demonstrate that the proposed method can postpone the starting point to a position closer to the last non-zero quantized coefficient, reducing 3.57% encoding time, with a 0.42% increase in Bjntegaard delta bit-rate (BD-BR) compared with VVenC 1.0.0 under medium preset.

源语言英语
主期刊名2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350359855
DOI
出版状态已出版 - 2023
活动2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023 - Jeju, 韩国
期限: 4 12月 20237 12月 2023

出版系列

姓名2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023

会议

会议2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
国家/地区韩国
Jeju
时期4/12/237/12/23

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