基于概率估计更新的高速CABAC算法

Guo Bin, Wang Wei-dong, Shen Yu-li, Zhang Hong
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引用次数: 9

摘要

上下文自适应二进制算术编码(CABAC)是一种高效的熵编码方式,但其编码速度受到高计算复杂度的限制,成为其应用的主要瓶颈。本文在分析CABAC算法及其计算复杂度的基础上,通过改进概率估计更新部分,提出了一种提高CABAC算法编码速度的有效方法。实验结果表明,CABAC的编码速度大大提高,编码效率略有下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A High Speed CABAC Algorithm Based on Probability Estimation Update
Context adaptive binary arithmetic coding (CABAC) is a highly efficient entropy coding way, but its coding speed is restricted by high computational complexity, which becomes a major bottleneck in its application. Based on the analysis of the CABAC algorithm and its computational complexity, by improving the probability estimation update part, an effective way to improve its coding speed will be proposed in this paper. The experimental results show that the coding speed of CABAC has been substantially raised meanwhile coding efficiency decline a little.
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