Precise Probability Estimation of Symbols in VVC CABAC Entropy Encoder

The new version of the Context-based Adaptive Binary Arithmetic Coding (CABAC) that is used in the latest Versatile Video Coding (VVC) technology is the state-of-the-art in the field of entropy compression of video data. This paper gives an in-depth analysis of possible, further extensions of the CABAC technique for even more accurate estimation of the probabilities of coded data symbols. The paper considers four author's examples of such extensions. With respect to these examples, the paper shows the practical limitations of further increasing the efficiency of the newest version of CABAC used in VVC. Results show that for the considered methods of improvements the limit of gain in compression is up to 0.2073% on average, when compressing the VVC video data.

Automated summary

This paper examines possible extensions of the latest version of CABAC used in VVC technology and analyzes the practical limitations of increasing compression efficiency. Results indicate that, on average, the limit of gain in compression for VVC video data is up to 0.2073% with the considered methods of improvements.