CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
High-Performance Video Condensation System
Zhu, Jianqing1,2; Feng, Shikun1; Yi, Dong1; Liao, Shengcai1; Lei, Zhen1; Li, Stan Z.1
Source PublicationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
2015-07-01
Volume25Issue:7Pages:1113-1124
SubtypeArticle
AbstractVideo 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.
KeywordGpu Acceleration Moving Object Segmentation Online Background Generation Video Condensation System Video Storage Video Surveillance
WOS HeadingsScience & Technology ; Technology
WOS KeywordTRACKING
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000357616600003
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8871
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.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
Recommended Citation
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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