The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A codificação aritmética binária adaptativa baseada em contexto (CA-BAC) é adotada como uma ferramenta de codificação de entropia para o perfil principal do padrão de codificação de vídeo H.264/AVC. CABAC atinge um maior grau de redução de redundância estimando a probabilidade condicional de cada símbolo binário que é a entrada para o codificador aritmético. Este artigo apresenta um método de codificação de entropia baseado em CABAC. No método proposto, o símbolo binário é codificado usando probabilidade condicional estimada com mais precisão, levando assim a uma melhoria de desempenho. Aplicamos nosso método ao padrão e avaliamos seu desempenho para diferentes fontes de vídeo e vários parâmetros de quantização (QP). Os resultados da experiência mostram que nosso método supera o CABAC original em termos de eficiência de codificação, e a economia média na taxa de bits é de até 1.2%.
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LeThanh HA, Chun-Su PARK, Seung-Won JUNG, Sung-Jea KO, "An Improved Method to CABAC in the H.264/AVC Video Compression Standard" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 12, pp. 3355-3360, December 2009, doi: 10.1587/transfun.E92.A.3355.
Abstract: Context-based Adaptive Binary Arithmetic Coding (CA-BAC) is adopted as an entropy coding tool for main profile of the video coding standard H.264/AVC. CABAC achieves higher degree of redundancy reduction by estimating the conditional probability of each binary symbol which is the input to the arithmetic coder. This paper presents an entropy coding method based on CABAC. In the proposed method, the binary symbol is coded using more precisely estimated conditional probability, thereby leading to performance improvement. We apply our method to the standard and evaluate its performance for different video sources and various quantization parameters (QP). Experiment results show that our method outperforms the original CABAC in term of coding efficiency, and the average bit-rate savings are up to 1.2%.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.3355/_p
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@ARTICLE{e92-a_12_3355,
author={LeThanh HA, Chun-Su PARK, Seung-Won JUNG, Sung-Jea KO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Improved Method to CABAC in the H.264/AVC Video Compression Standard},
year={2009},
volume={E92-A},
number={12},
pages={3355-3360},
abstract={Context-based Adaptive Binary Arithmetic Coding (CA-BAC) is adopted as an entropy coding tool for main profile of the video coding standard H.264/AVC. CABAC achieves higher degree of redundancy reduction by estimating the conditional probability of each binary symbol which is the input to the arithmetic coder. This paper presents an entropy coding method based on CABAC. In the proposed method, the binary symbol is coded using more precisely estimated conditional probability, thereby leading to performance improvement. We apply our method to the standard and evaluate its performance for different video sources and various quantization parameters (QP). Experiment results show that our method outperforms the original CABAC in term of coding efficiency, and the average bit-rate savings are up to 1.2%.},
keywords={},
doi={10.1587/transfun.E92.A.3355},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - An Improved Method to CABAC in the H.264/AVC Video Compression Standard
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3355
EP - 3360
AU - LeThanh HA
AU - Chun-Su PARK
AU - Seung-Won JUNG
AU - Sung-Jea KO
PY - 2009
DO - 10.1587/transfun.E92.A.3355
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2009
AB - Context-based Adaptive Binary Arithmetic Coding (CA-BAC) is adopted as an entropy coding tool for main profile of the video coding standard H.264/AVC. CABAC achieves higher degree of redundancy reduction by estimating the conditional probability of each binary symbol which is the input to the arithmetic coder. This paper presents an entropy coding method based on CABAC. In the proposed method, the binary symbol is coded using more precisely estimated conditional probability, thereby leading to performance improvement. We apply our method to the standard and evaluate its performance for different video sources and various quantization parameters (QP). Experiment results show that our method outperforms the original CABAC in term of coding efficiency, and the average bit-rate savings are up to 1.2%.
ER -