Novel Statistical Modeling, Analysis and Implementation of Rate-Distortion Estimation for H.264/AVC Coders

doi:10.1109/TCSVT.2010.2045803

	Novel Statistical Modeling, Analysis and Implementation of Rate-Distortion Estimation for H.264/AVC Coders
	Zhao, Xin 1,2; Sun, Jun 3; Ma, Siwei 4; Gao, Wen 4
	2010-05-01
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
ISSN	1051-8215
卷号	20 期号:5 页码:647-660
摘要	In H.264/advanced video coding, the encoder employs the rate-distortion optimization (RDO) to select the optimal coding mode of each block. Although it is effective to employ the RDO technique for mode decision, the computation load increases drastically. To reduce the computation complexity of the RDO technique, in this paper, we propose efficient algorithms for the estimation of block-level rate and distortion. For rate estimation, we model the transform coefficients with accurate generalized Gaussian distributions, and the weighted sum of absolute quantized transform coefficients is proposed as an efficient rate estimator, where the weights provide an implicit mechanism for evaluating different contributions of different frequency components to the coding bits. For distortion estimation, we first analyze the origins of distortion thoroughly. Then a direct relationship between the discarded bits in quantization and the distortion is explored. According to this investigation, a simple and efficient algorithm is proposed for the distortion estimation. With above proposed algorithms, the RDO technique can be efficiently implemented in a low-complexity way. Extensive experimental results demonstrate that, compared with the original RDO implementation, the proposed algorithms achieve about 32% reduced total encoding time with ignorable coding performance degradation.
关键词	Distortion estimation GGD H.264/AVC rate estimation rate-distortion optimization video coding
DOI	10.1109/TCSVT.2010.2045803
收录类别	SCI
语种	英语
资助项目	National Science Foundation[60833013] ; National Science Foundation[60902004] ; National Basic Research Program of China (973 Program)[2009CB320903] ; National Basic Research Program of China (973 Program)[2009CB320904]
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000277500900003
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：41[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/12386
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Xin
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China 3.Peking Univ, Inst Comp Sci & Technol, Beijing 100871, Peoples R China 4.Peking Univ, Sch Elect Engn & Comp Sci, Inst Digital Media, Beijing 100871, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Xin,Sun, Jun,Ma, Siwei,et al. Novel Statistical Modeling, Analysis and Implementation of Rate-Distortion Estimation for H.264/AVC Coders[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2010,20(5):647-660.
APA	Zhao, Xin,Sun, Jun,Ma, Siwei,&Gao, Wen.(2010).Novel Statistical Modeling, Analysis and Implementation of Rate-Distortion Estimation for H.264/AVC Coders.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,20(5),647-660.
MLA	Zhao, Xin,et al."Novel Statistical Modeling, Analysis and Implementation of Rate-Distortion Estimation for H.264/AVC Coders".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 20.5(2010):647-660.