@inproceedings{04293cf1d8cf4d7a8858dc1327ac7e02,
title = "Using Double Bit Range Estimation for CABAC in VVC",
abstract = "This work modifies CABAC using the double bit range estimation in the VVC standard and considering range updates for probability predictions. The inclusion of the arithmetic coding engine with multi-hypothesis probability estimation, and their consideration of the context modelling of entropy coding at the transform coefficient levels. In addition to describing the implementation details, this work also discusses the hardware implementation, which is based on simple operations such as bitwise operations and single subsampling for subinterval updates. The experimental results show that these improvements offer some gain in rate-distortion efficiency while incurring a controlled and adjustable complexity overhead. The improved results show that it provides more significant gains in RA and LD, which is better than the AI configuration.",
keywords = "Bitwise Operation, CABAC, Multi-Estmation, VVC",
author = "Chan, {Ka Hou} and Im, {Sio Kei}",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 5th International Conference on Image and Graphics Processing, ICIGP 2022 ; Conference date: 07-01-2022 Through 09-01-2022",
year = "2022",
month = jan,
day = "7",
doi = "10.1145/3512388.3512400",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "79--83",
booktitle = "ICIGP 2022 - Proceedings of the 2022 5th International Conference on Image and Graphics Processing",
}