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Proceedings Paper

Bhattacharyya distance based video scene change detection
Author(s): Bichuan Shen; C.H. Chen
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74961G (30 October 2009); doi: 10.1117/12.837501
Show Author Affiliations
Bichuan Shen, Chongqing Univ. of Posts and Telecommunications (China)
C.H. Chen, Univ. of Massachusetts Dartmouth (United States)

Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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