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ShanghaiTech University Knowledge Management System
Fast HEVC Intra Mode Decision Based on Logistic Regression Classification | |
2016 | |
会议录名称 | 2016 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB)
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ISSN | 2155-5052 |
卷号 | 2016-July |
发表状态 | 已发表 |
DOI | 10.1109/BMSB.2016.7521974 |
摘要 | The High Efficiency Video Coding (HEVC) adopts a hierarchical quad-tree based coding unit (CU) partitioning structure, which allows to recursively split a block into four equally sized blocks. At each depth level, there are up to 35 intra prediction modes. Therefore, enormous computational complexity is introduced due to the recursive Rate-Distortion Optimization (RDO) process on all possible depth levels and prediction modes to find the optimal CU partitions. In this paper, a fast mode decision algorithm is proposed for HEVC intra coding. A logistic regression classifier is introduced to early terminate CU splitting decision process, which is formulated as a binary classification problem. An offline training scheme is applied to obtain a set of efficient coefficients for the logistic regression classifier. Efficient and computationally-friendly features are extracted based on an F-score approach for different QPs and CU depth levels. The experimental results show the proposed algorithm can reduce computational complexity by 55.5% on average with 1.29% Bjontegaard Delta bitrate (BDBR) increase for various test sequences under "encoder_intra_main" condition compared with that of HEVC reference test model. |
关键词 | HEVC logistic regression intra mode decision early termination |
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
会议地点 | Nara |
会议日期 | 1-3 June 2016 |
URL | 查看原文 |
收录类别 | CPCI ; EI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61133009] ; National Natural Science Foundation of China[61221001] ; National Natural Science Foundation of China[61301116] |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
WOS记录号 | WOS:000382920900076 |
出版者 | IEEE |
EI入藏号 | 20163402729123 |
EI主题词 | Codes (symbols) ; Computational complexity ; Electric distortion ; Image coding ; Multimedia systems ; Optimization ; Signal distortion ; Video signal processing |
EI分类号 | Electricity: Basic Concepts and Phenomena:701.1 ; Information Theory and Signal Processing:716.1 ; Television Systems and Equipment:716.4 ; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1 ; Data Processing and Image Processing:723.2 ; Computer Applications:723.5 ; Optimization Techniques:921.5 ; Mathematical Statistics:922.2 |
WOS关键词 | CU SIZE DECISION |
原始文献类型 | Proceedings Paper |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/2005 |
专题 | 信息科学与技术学院_PI研究组_马毅组 信息科学与技术学院_PI研究组_虞晶怡组 |
通讯作者 | Hu, Qiang |
作者单位 | 1.Shanghai Jiao Tong Univ, Dept Elect Engn, Inst Image Commun & Network Engn, Shanghai, Peoples R China 2.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Hu, Qiang,Shi, Zhiru,Zhang, Xiaoyun,et al. Fast HEVC Intra Mode Decision Based on Logistic Regression Classification[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016. |
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