A Novel Fast and Effictive Video Retrieval System for Surveillance Application
文献类型：会议论文
| 作者 | Aixing Li; Fengqi Yu; Keqing Shi |
| 出版日期 | 2011 |
| 会议名称 | 1st Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, |
| 会议地点 | Kunming, China |
| 英文摘要 | Fast and effective indexing and retrieval from large amount of surveillance videos are very important issues. This paper proposes a novel object-semantic-based surveillance video indexing and retrieval system, which is mainly composed of two modules: video analysis and video retrieval. In the video analysis, the systems first segments video objects (VO) fromsurveillance videos, and the fundamental semantic information is then extracted and indexed into the database. A normal approach of Gaussian Mixed Model (GMM) is applied in video object extraction (VOE) and video object segmentation (VOS). During retrieval, the query is converted to semantic information without re-processing the surveillance videos. Color, edge orientation histograms and SIFT (Scale Invariant Feature Transforms), as the key features and similarity measurement, are considered together to accurately match the video objects (VOM). The experiment shows that a user can retrieve the requiredvideos effectively. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3286]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Aixing Li,Fengqi Yu,Keqing Shi. A Novel Fast and Effictive Video Retrieval System for Surveillance Application[C]. 见:1st Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, . Kunming, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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