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
본 논문에서는 HEVC(High Efficiency Video Coding)를 위한 인지 왜곡 기반 율-왜곡 최적화 비디오 코딩 기법을 제안한다. HEVC의 계층적 코딩 블록 구조에 적용할 지각 왜곡 모델은 인간의 인식을 더 잘 반영하기 위해 왜곡 메트릭으로 알려진 변환 도메인의 SSIM(구조적 유사성 지수)을 유도합니다. DCT의 특성과 고해상도 양자화 가정을 이용하여 SSIM 양자화 모델을 제안한다. SSIM 모델은 HEVC의 각 CU(Coding Unit) 깊이에서 SSIM의 합으로 얻어지며, 이는 HEVC에서 CU의 계층적 쿼드트리 구조에 대한 SSIM 값을 정확하게 예측합니다. 속도 모델은 변환 잔차 계수의 라플라시안 분포를 기반으로 하는 엔트로피에서 파생되며 HEVC 비디오 코덱의 속도 왜곡 최적화를 위해 SSIM 기반 왜곡 모델과 결합되어 HEVC에 규격에 맞게 적용될 수 있습니다. 실험 결과는 제안된 방법이 저지연 및 랜덤 액세스 구성에 대해 각각 rate-SSIM 성능에서 평균 비트 전송률 8.1% 및 4.0% 감소를 달성하여 기존 방법보다 성능이 우수함을 보여줍니다. 제안된 방법은 기존의 MSE(Mean Square Error) 기반 RDO 코딩 방식보다 더 나은 시각적 품질을 제공합니다.
Bumshik LEE
Chosun University
Jae Young CHOI
Hankuk University of Foreign Studies (HUFS)
HEVC, 씨심, 지각적 비디오 코딩
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부
Bumshik LEE, Jae Young CHOI, "A Rate Perceptual-Distortion Optimized Video Coding HEVC" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 12, pp. 3158-3169, December 2018, doi: 10.1587/transinf.2018EDP7164.
Abstract: In this paper, a perceptual distortion based rate-distortion optimized video coding scheme for High Efficiency Video Coding (HEVC) is proposed. Structural Similarity Index (SSIM) in transform domain, which is known as distortion metric to better reflect human's perception, is derived for the perceptual distortion model to be applied for hierarchical coding block structure of HEVC. A SSIM-quantization model is proposed using the properties of DCT and high resolution quantization assumption. The SSIM model is obtained as the sum of SSIM in each Coding Unit (CU) depth of HEVC, which precisely predict SSIM values for the hierarchical quadtree structure of CU in HEVC. The rate model is derived from the entropy, based on Laplacian distributions of transform residual coefficients and is jointly combined with the SSIM-based distortion model for rate-distortion optimization in an HEVC video codec and can be compliantly applied to HEVC. The experimental results demonstrate that the proposed method achieves 8.1% and 4.0% average bit rate reductions in rate-SSIM performance for low-delay and random access configurations respectively, outperforming other existing methods. The proposed method provides better visual quality than the conventional mean square error (MSE)-based RDO coding scheme.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDP7164/_p
부
@ARTICLE{e101-d_12_3158,
author={Bumshik LEE, Jae Young CHOI, },
journal={IEICE TRANSACTIONS on Information},
title={A Rate Perceptual-Distortion Optimized Video Coding HEVC},
year={2018},
volume={E101-D},
number={12},
pages={3158-3169},
abstract={In this paper, a perceptual distortion based rate-distortion optimized video coding scheme for High Efficiency Video Coding (HEVC) is proposed. Structural Similarity Index (SSIM) in transform domain, which is known as distortion metric to better reflect human's perception, is derived for the perceptual distortion model to be applied for hierarchical coding block structure of HEVC. A SSIM-quantization model is proposed using the properties of DCT and high resolution quantization assumption. The SSIM model is obtained as the sum of SSIM in each Coding Unit (CU) depth of HEVC, which precisely predict SSIM values for the hierarchical quadtree structure of CU in HEVC. The rate model is derived from the entropy, based on Laplacian distributions of transform residual coefficients and is jointly combined with the SSIM-based distortion model for rate-distortion optimization in an HEVC video codec and can be compliantly applied to HEVC. The experimental results demonstrate that the proposed method achieves 8.1% and 4.0% average bit rate reductions in rate-SSIM performance for low-delay and random access configurations respectively, outperforming other existing methods. The proposed method provides better visual quality than the conventional mean square error (MSE)-based RDO coding scheme.},
keywords={},
doi={10.1587/transinf.2018EDP7164},
ISSN={1745-1361},
month={December},}
부
TY - JOUR
TI - A Rate Perceptual-Distortion Optimized Video Coding HEVC
T2 - IEICE TRANSACTIONS on Information
SP - 3158
EP - 3169
AU - Bumshik LEE
AU - Jae Young CHOI
PY - 2018
DO - 10.1587/transinf.2018EDP7164
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2018
AB - In this paper, a perceptual distortion based rate-distortion optimized video coding scheme for High Efficiency Video Coding (HEVC) is proposed. Structural Similarity Index (SSIM) in transform domain, which is known as distortion metric to better reflect human's perception, is derived for the perceptual distortion model to be applied for hierarchical coding block structure of HEVC. A SSIM-quantization model is proposed using the properties of DCT and high resolution quantization assumption. The SSIM model is obtained as the sum of SSIM in each Coding Unit (CU) depth of HEVC, which precisely predict SSIM values for the hierarchical quadtree structure of CU in HEVC. The rate model is derived from the entropy, based on Laplacian distributions of transform residual coefficients and is jointly combined with the SSIM-based distortion model for rate-distortion optimization in an HEVC video codec and can be compliantly applied to HEVC. The experimental results demonstrate that the proposed method achieves 8.1% and 4.0% average bit rate reductions in rate-SSIM performance for low-delay and random access configurations respectively, outperforming other existing methods. The proposed method provides better visual quality than the conventional mean square error (MSE)-based RDO coding scheme.
ER -