ISSN: 1673-825X    Imprint: Chongqing University of Posts and Telecommunications Journal
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基于巴氏距离的视频流场景变化检测
Scene change detection in video stream based on Bhattacharyya distance
DOI:10.3979/j.issn.1673-825X.2009.01.017
Received:March 08, 2008  
中文关键词:场景变化检测  特征向量距离  巴氏距离  卡方距离
英文关键词:scene change detection  feature vector distance  Bhattacharyya distance  Chi-square distance
基金项目:
Author NameAffiliation
SHEN Bi-chuan, MAO Qi-jian, LV Yi Mobile Telecommunications College, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China 
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中文摘要:
      探讨了连续视频流中的基于统计特征的场景变化检测问题,并研究了包括直方图距离、卡方距离和巴氏距离的3个场景度量方法,提出了更优的巴氏距离场景度量方法。该方法能计算并最大化高维空间中的多模式聚集特征向量距离,由于具有满足三角不等式和非奇性的特性,相对于其他两种方法,它提高了检测性能。实验比较了场景变化检测的精确和检索率,结果与分析一致。
英文摘要:
      This paper studies statistics based scene change detection in the video streaming scenario, and three scene feature metrics including histogram distance, chi-square distance, and Bhattacharyya distance have been investigated. With the unique characteristics of triangular inequality and non-singularity, Bhattacharyya distance has been proposed as a viable scene change metrics. It outperforms much better than the other two in that it calculates and maximizes the feature vector distance between multi-modal clusters in a hyper-sphere space. The experiments are conducted and the precision recall statistics are compared, and the results support our analysis.
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