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	BACKGROUND-FOREGROUND DIVISION BASED SEARCH FOR MOTION ESTIMATION IN SURVEILLANCE VIDEO CODING
	Zhao, Long ; Tian, Yonghong ; Huang, Tiejun
	2014
关键词	Motion Search Surveillance Videos Predicting Unit BFDS Search Complexity HEVC ALGORITHM
英文摘要	Basically, motion search is very time-consuming in the process of video coding. For surveillance videos, however, there exist a large amount of static background regions whose motion vectors actually are equal to zero. By utilizing the background and foreground information of coding units, this paper proposes a background-foreground division based search algorithm (BFDS) to accelerate the motion search in surveillance video coding. The basic idea of BFDS is to classify a predicting unit (PU) into a background predicting unit (BPU) or a foreground predicting unit (FPU) and then adopt different search strategies respectively for BPUs and FPUs. That is, a zero motion vector biased search strategy is applied in BPUs to reduce the search complexity on a large scale while a precise global search strategy is applied in FPUs to get higher coding performance. Compared with the current TZ search algorithm used in HEVC, the proposed BFDS algorithm can reduce the number of search points by 57.73% while remaining the coding performance almost unchanged.; EI; CPCI-S(ISTP); yhtian@pku.edu.cn; Septmber; 2014-September
语种	英语
出处	2014 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)
DOI标识	10.1109/ICME.2014.6890164
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/423895]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhao, Long,Tian, Yonghong,Huang, Tiejun. BACKGROUND-FOREGROUND DIVISION BASED SEARCH FOR MOTION ESTIMATION IN SURVEILLANCE VIDEO CODING. 2014-01-01.

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