Online video synopsis of structured motion
文献类型：期刊论文
| 作者 | Fu, Wei; Wang, Jinqiao ; Gui, Liangke; Lu, Hanqing; Ma, Songde
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2014-07-05 |
| 卷号 | 135页码:155-162 |
| 关键词 | Video synopsis Motion structure |
| 英文摘要 | With the explosive growth of surveillance video data, video synopsis technology is presented for fast browsing a day's worth of video in several minutes. However, for most existing solutions, motion structure in original videos may be destroyed even considering the temporal consistency of related objects. To maintain the important context cues, in this paper, we propose an online motion structure preserved synopsis approach, which can preserve behavior interactions between different objects in the original video while condensing as much content as possible. By measuring sociological proximity of moving objects, we introduce motion structure as a refined term directly added to the problem of energy minimization. A hierarchical fashion is employed to efficiently search an optimal solution for the problem of video synopsis, in which both the spatial collision and the temporal consistency are considered. Experimental results on extensive videos demonstrate the promise of the proposed approach. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000335871200019 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3365]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fu, Wei,Wang, Jinqiao,Gui, Liangke,et al. Online video synopsis of structured motion[J]. NEUROCOMPUTING,2014,135:155-162. |
| APA | Fu, Wei,Wang, Jinqiao,Gui, Liangke,Lu, Hanqing,&Ma, Songde.(2014).Online video synopsis of structured motion.NEUROCOMPUTING,135,155-162. |
| MLA | Fu, Wei,et al."Online video synopsis of structured motion".NEUROCOMPUTING 135(2014):155-162. |
入库方式： OAI收割
来源：自动化研究所
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