Key Observation Selection for Effective Video Synopsis

	Key Observation Selection for Effective Video Synopsis
	Zhu, Xiaobin; Liu, Jing; Wang, Jinqiao; Lu, Hanqing
	2012
会议名称	2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012)
会议录名称	International Conference on Pattern Recognition (ICPR)
页码	2528-2531
会议日期	2012
会议地点	Lake Buena Vista (Orlando), Florida, USA
摘要	Millions of video surveillance cameras distribute around the world, and capture tremendous number of video data endlessly. Video browsing by frame is time consuming and inefficient, since needless information is abundant in the raw videos. Video synopsis is an ef- fective way to solve this problem by producing a short video abstraction, while keeping the essential activities of the original video. However, traditional video syn- opsis only eliminates redundancy in spatial and tempo- ral domain, while neglects redundancy in content do- main. However, too many observations will make syn- opsis video confusing and degrade synopsis efficiency. In this paper, we present a novel video synopsis method based on key observation selection. Key observation s- election is conducted for activity to eliminate content redundancy. We have demonstrated the effectiveness of our approach on real surveillance videos.
关键词	Effective Video Synopsis Key Observation Selection
收录类别	CPCI-T
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4658
专题	紫东太初大模型研究中心_图像与视频分析
通讯作者	Wang, Jinqiao
推荐引用方式 GB/T 7714	Zhu, Xiaobin,Liu, Jing,Wang, Jinqiao,et al. Key Observation Selection for Effective Video Synopsis[C],2012:2528-2531.

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