【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。更多还原

【Abstract】 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.更多还原