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JIA Ke-bin, DENG Zhi-pi, ZHUANG Xin-yue. Video Similarity Matching Algorithm Based on Spatiotemporal Feature[J]. Journal of Beijing University of Technology, 2008, 34(12): 1250-1253.
Citation: JIA Ke-bin, DENG Zhi-pi, ZHUANG Xin-yue. Video Similarity Matching Algorithm Based on Spatiotemporal Feature[J]. Journal of Beijing University of Technology, 2008, 34(12): 1250-1253.
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Video Similarity Matching Algorithm Based on Spatiotemporal Feature

  • College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

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  • Received Date: June 19, 2007
  • Available Online: December 28, 2022
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    • Abstract
  • 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.
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