中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Surveillance Video Synopsis via Scaling Down Objects

文献类型:期刊论文

作者Li, Xuelong1; Wang, Zhigang2,3; Lu, Xiaoqiang1
刊名ieee transactions on image processing
出版日期2016-02-01
卷号25期号:2页码:740-755
关键词Video synopsis surveillance reduce collision reduce size optimization
ISSN号1057-7149
产权排序1
英文摘要

video synopsis is an effective technique to provide a compact representation of the original video by removing spatiotemporal redundancies and by preserving the essential activities. most current approaches for video synopsis will cause collisions among objects, especially when the video is condensed much. in this paper, we present an approach for video synopsis to reduce the collisions. our approach first shifts active objects along the time axis to compact the original video. then, the sizes of the objects are reduced when collisions occur. meanwhile, the geometric centroids of the objects will be kept unchanged to preserve the location information. our contributions are threefold. first, an approach is proposed to decrease collisions in the synopsis video through reducing the sizes of the objects. second, an optimization framework is developed to indicate the optimal time position and the appropriate reduction coefficient for each object. finally, some metrics are proposed, and several experiments are carried out to evaluate the proposed approach. the experiments have demonstrated that the synopsis video produced by our approach has much fewer collisions while the compression ratio is high.

WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; engineering, electrical & electronic
研究领域[WOS]computer science ; engineering
关键词[WOS]graph cuts ; model ; optimization ; attention ; images
收录类别SCI ; EI
语种英语
WOS记录号WOS:000383905800019
源URL[http://ir.opt.ac.cn/handle/181661/28247]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
2.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China
3.Northwestern Polytech Univ, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Li, Xuelong,Wang, Zhigang,Lu, Xiaoqiang. Surveillance Video Synopsis via Scaling Down Objects[J]. ieee transactions on image processing,2016,25(2):740-755.
APA Li, Xuelong,Wang, Zhigang,&Lu, Xiaoqiang.(2016).Surveillance Video Synopsis via Scaling Down Objects.ieee transactions on image processing,25(2),740-755.
MLA Li, Xuelong,et al."Surveillance Video Synopsis via Scaling Down Objects".ieee transactions on image processing 25.2(2016):740-755.

入库方式: OAI收割

来源:西安光学精密机械研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。