30 October 2009 Bhattacharyya distance based video scene change detection
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Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74961G (2009); doi: 10.1117/12.837501
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
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Bichuan Shen, C.H. Chen, "Bhattacharyya distance based video scene change detection", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74961G (30 October 2009); doi: 10.1117/12.837501; https://doi.org/10.1117/12.837501
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KEYWORDS
Video

Video surveillance

Error analysis

Statistical analysis

Feature extraction

Scene classification

Semantic video

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