Institute of Computing Technology, Chinese Academy IR
Low complexity encoder optimization for HEVC | |
Wang, Shanshe1,2; Luo, Falei4; Ma, Siwei1,2; Zhang, Xiang1,2; Wang, Shiqi1,2; Zhao, Debin3; Gao, Wen1,2 | |
2016-02-01 | |
发表期刊 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION |
ISSN | 1047-3203 |
卷号 | 35页码:120-131 |
摘要 | High Efficiency Video Coding (HEVC) improved the coding efficiency significantly. Compared to its predecessor H.264/AVC, it can provide equivalent subjective quality with more than 57% bit rate reduction. However, the improvement on coding efficiency is obtained at the expense of much more intensive computation complexity. In this paper, based on an overall analysis of computation complexity at the HEVC encoder, a low complexity encoder optimization scheme is proposed by reducing the number of available candidates for evaluation in terms of the intra prediction mode decision, early termination of coding unit (CU) splitting and adaptive reference frame selection. With the proposed scheme, the rate distortion optimization (RDO) technique of HEVC can be implemented in a low-complexity way for complexity constrained encoders. Experimental results demonstrate that, compared with the original HEVC reference encoder implementation, the proposed optimization scheme can achieve more than 40% complexity reduction on average with coding performance degradation as only 0.43% which can be ignorable. (C) 2015 Elsevier Inc. All rights reserved. |
关键词 | HEVC Low complexity Intra mode decision CU splitting Reference frame selection Rate distortion optimization Video coding Encoder optimization |
DOI | 10.1016/j.jvcir.2015.12.005 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National High-tech R&D Program of China (863 Program)[2015AA015903] ; National Natural Science Foundation of China[61322106] ; National Natural Science Foundation of China[61571017] ; National Natural Science Foundation of China[61421062] ; Shenzhen Peacock Plan |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering |
WOS记录号 | WOS:000369879600011 |
出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/8740 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Wang, Shanshe |
作者单位 | 1.Peking Univ, Inst Digital Media, Beijing 100871, Peoples R China 2.Peking Univ, Cooperat Medianet Innovat Ctr, Beijing 100871, Peoples R China 3.Harbin Inst Technol, Dept Comp Sci & Technol, Harbin 150006, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Shanshe,Luo, Falei,Ma, Siwei,et al. Low complexity encoder optimization for HEVC[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2016,35:120-131. |
APA | Wang, Shanshe.,Luo, Falei.,Ma, Siwei.,Zhang, Xiang.,Wang, Shiqi.,...&Gao, Wen.(2016).Low complexity encoder optimization for HEVC.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,35,120-131. |
MLA | Wang, Shanshe,et al."Low complexity encoder optimization for HEVC".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 35(2016):120-131. |
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