Surveillance video synopsis in the compressed domain for fast video browsing
文献类型：期刊论文
| 作者 | Wang, Shi-zheng1,2; Wang, Zhong-yuan1; Hu, Rui-min1 |
| 刊名 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
 |
| 出版日期 | 2013-11-01 |
| 卷号 | 24期号:8页码:1431-1442 |
| 关键词 | Surveillance video Compressed domain Video synopsis Video labeling Scalable browsing Fast browsing Background modeling Intelligent video |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | MOVING OBJECT SEGMENTATION ; VISUAL SURVEILLANCE ; CLASSIFICATION ; FRAMES ; MODEL |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000328590700017 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8938]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心 |
| 作者单位 | 1.Wuhan Univ, Wuhan 430072, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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