High-Performance Video Condensation System
Zhu, Jianqing1,2; Feng, Shikun1; Yi, Dong1; Liao, Shengcai1; Lei, Zhen1; Li, Stan Z.1
2015-07-01
发表期刊IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
卷号25期号:7页码:1113-1124
文章类型Article
摘要Video synopsis or condensation is a smart solution for fast video browsing and storage. However, most of the existing methods work offline, where two main phases are required. The first phase is to prepare tubes and background images. The second phase is to rearrange tubes and stitch them into backgrounds. However, with a long video sequence, the first phase is memory consuming for data storage, and the second phase is computationally expensive to rearrange all tubes simultaneously. To overcome these problems, we propose a high-performance video condensation system based on an online content-aware framework. The online framework transforms the optimization problem of tube rearrangement into a stepwise optimization problem. Therefore, it can condense video with much less memory and higher speed than the offline framework. With the aid of this transformation, the proposed system can process input videos and produce condensed videos simultaneously. Thus it is suitable for real-time endless surveillance videos. Meanwhile, the online mechanism allows users to directly visit the condensation video that has been generated. Moreover, the content-aware mechanism makes the proposed system able to automatically determine the duration of a condensed video. Finally, the proposed system uses Graphic Processing Unit (GPU) and multicore techniques to improve the speed. Extensive experiments that validate the high efficiency of the system are presented.
关键词Gpu Acceleration Moving Object Segmentation Online Background Generation Video Condensation System Video Storage Video Surveillance
WOS标题词Science & Technology ; Technology
关键词[WOS]TRACKING
收录类别SCI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000357616600003
引用统计
被引频次:7[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/173211/8871
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.Chinese Acad Sci, Natl Lab Pattern Recognit, Ctr Biometr & Secur Res, Inst Automat, Beijing 100190, Peoples R China
2.Fujian Normal Univ, Fac Software, Fuzhou 350108, Peoples R China
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GB/T 7714
Zhu, Jianqing,Feng, Shikun,Yi, Dong,et al. High-Performance Video Condensation System[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2015,25(7):1113-1124.
APA Zhu, Jianqing,Feng, Shikun,Yi, Dong,Liao, Shengcai,Lei, Zhen,&Li, Stan Z..(2015).High-Performance Video Condensation System.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,25(7),1113-1124.
MLA Zhu, Jianqing,et al."High-Performance Video Condensation System".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 25.7(2015):1113-1124.
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