Surveillance video synopsis in the compressed domain for fast video browsing
Wang, Shi-zheng1,2; Wang, Zhong-yuan1; Hu, Rui-min1
2013-11-01
发表期刊JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
卷号24期号:8页码:1431-1442
文章类型Article
摘要The traditional pixel-domain based video analysis methods have taken dominated places for long. However, due to the rapidly increasing volume and resolution of surveillance video, the desirable fast and scalable browsing encounters significant challenges in terms of efficiency and flexibility. Under this circumstance, operating surveillance video in compressed domain has aroused great concern in academy and industry. In order to perform the intelligent video analysis task on the premise of preserving accuracy and controlling complexity, this paper presents a compressed-domain approach for massive surveillance video synopsis generation, labeling and browsing. The main work and achievements include: (1) a compressed-domain scheme is established to condense the compressed surveillance video and record the synopsis results; (2) a background modeling method via the Motion Vector based Local Binary Pattern (MVLBP) is introduced to extract moving objects in an efficient way; (3) an object flags based synopsis labeling method is proposed to represent the object regions as well as their display modes in a flexible way. Experimental results show that the video analysis system based on this framework can provide not only efficient synopsis generation but also flexible scalable or playback browsing. (C) 2013 Elsevier Inc. All rights reserved.
关键词Surveillance Video Compressed Domain Video Synopsis Video Labeling Scalable Browsing Fast Browsing Background Modeling Intelligent Video
WOS标题词Science & Technology ; Technology
关键词[WOS]MOVING OBJECT SEGMENTATION ; VISUAL SURVEILLANCE ; CLASSIFICATION ; FRAMES ; MODEL
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号WOS:000328590700017
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8938
专题模式识别国家重点实验室_生物识别与安全技术研究
作者单位1.Wuhan Univ, Wuhan 430072, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
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GB/T 7714
Wang, Shi-zheng,Wang, Zhong-yuan,Hu, Rui-min. Surveillance video synopsis in the compressed domain for fast video browsing[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2013,24(8):1431-1442.
APA Wang, Shi-zheng,Wang, Zhong-yuan,&Hu, Rui-min.(2013).Surveillance video synopsis in the compressed domain for fast video browsing.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,24(8),1431-1442.
MLA Wang, Shi-zheng,et al."Surveillance video synopsis in the compressed domain for fast video browsing".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 24.8(2013):1431-1442.
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