Scene change detection in video stream based on Bhattacharyya distance
基于巴氏距离的视频流场景变化检测

This paper studies statistics based scene change detection in the video streaming scenario, and three scene fea-ture 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 muhi-modal clusters in a hyper-sphere space. The experiments are conducted and the precision recall sta-tistics are compared, and the results support our analysis.