Surveillance Video Synopsis via Scaling Down Objects
文献类型:期刊论文
作者 | Li, Xuelong1![]() ![]() |
刊名 | ieee transactions on image processing
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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
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