More Probability Estimators for CABAC in Versatile Video Coding

研究成果: Conference contribution同行評審

8 引文 斯高帕斯(Scopus)

摘要

In the next-generation Versatile Video Coding (VVC), its Context-based Adaptive Binary Arithmetic Coding will have evolved to use linear quantization and multi-probability estimators for prediction, instead of using the finite state table and lookup table in the current standard. This paper highlights the key techniques that involve more probability estimators to enable VVC to potentially achieve a linear quantization representation of the probability state, and a multiplication-free operation can be achieved through a series of bit operations. This article focuses on key techniques involving more probability estimators, so that VVC can linearly achieve a quantized representation of probability prediction and describes the scalability potential for higher accuracy. The BD-RATE gain of the proposed approach is up to 4.0% for all-intra mode and 2.0% for inter mode, the improvement showing that gain is provided in the encoding, and the proposed method can be used in the next generation VVC standard.

原文English
主出版物標題2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面366-370
頁數5
ISBN(電子)9781728168968
DOIs
出版狀態Published - 23 10月 2020
事件5th IEEE International Conference on Signal and Image Processing, ICSIP 2020 - Virtual, Nanjing, China
持續時間: 23 10月 202025 10月 2020

出版系列

名字2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020

Conference

Conference5th IEEE International Conference on Signal and Image Processing, ICSIP 2020
國家/地區China
城市Virtual, Nanjing
期間23/10/2025/10/20

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