Video similarity matching algorithm based on spatiotemporal feature - 文章详情页

作者：

Jia, Ke-Bin (Jia, Ke-Bin.) (学者：贾克斌) | Deng, Zhi-Pin (Deng, Zhi-Pin.) | Zhuang, Xin-Yue (Zhuang, Xin-Yue.)

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摘要：

This　paper　targeted　at　the　offset　of　brightness,　abrupt　intense　disturbance　and　problems　caused　by　video　re-editing.　Video　Spatiotemporal　Feature　was　defined　to　represent　the　content　of　video.　The　proposed　Grads　matching　algorithm　and　improved　Dynamic　Time　Warping　algorithm(DTW)　were　introduced　to　video　similarity　matching.　Experimental　database　includeed　80　advertising　videos　and　200　re-editing　videos.　Results　demonstrate　the　effectiveness　of　the　algorithm.

关键词：

Content based retrieval Dynamic programming Gradient methods Video on demand Video signal processing

作者机构：

[ 1 ] [Jia, Ke-Bin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Deng, Zhi-Pin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Zhuang, Xin-Yue]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

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