High-Performance Video Condensation System

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 生物识别与安全技术研究中心

	High-Performance Video Condensation System
	Zhu, Jianqing 1,2; Feng, Shikun 1; Yi, Dong 1; Liao, Shengcai1 ; Lei, Zhen1 ; Li, Stan Z.1
刊名	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	2015-07-01
卷号	25 期号:7 页码:1113-1124
关键词	GPU acceleration moving object segmentation online background generation video condensation system video storage video surveillance
英文摘要	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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Engineering, Electrical & Electronic
研究领域[WOS]	Engineering
关键词[WOS]	TRACKING
收录类别	SCI
语种	英语
WOS记录号	WOS:000357616600003
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8871]
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.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
推荐引用方式 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.