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
비디오 코딩 표준 H.264/AVC의 주요 프로파일에 대한 엔트로피 코딩 도구로 CA-BAC(Context-Based Adaptive Binary Arithmetic Coding)가 채택되었습니다. CABAC는 산술 코더에 입력되는 각 이진 기호의 조건부 확률을 추정하여 더 높은 수준의 중복 감소를 달성합니다. 본 논문에서는 CABAC 기반의 엔트로피 코딩 방법을 제시한다. 제안하는 방법에서는 보다 정확하게 추정된 조건부 확률을 이용하여 이진 기호를 부호화함으로써 성능 향상을 이끈다. 우리는 우리의 방법을 표준에 적용하고 다양한 비디오 소스와 다양한 양자화 매개변수(QP)에 대한 성능을 평가합니다. 실험 결과, 우리의 방법은 코딩 효율성 측면에서 기존 CABAC보다 성능이 뛰어나고 평균 비트 전송률 절감 효과는 최대 1.2%임을 보여줍니다.
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부
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
부
@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},}
부
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 -