Scene change detection using the weighted chi-test and automatic threshold decision algorithm

Authors:
Kyong-Cheol Ko;Oh-Hyung Kang;Chang-Woo Lee;Ki-Hong Park;Yang-Won Rhee
Affiliations:
Department of Computer Science, Kunsan National University, Chonbuk, South Korea;Department of Computer Science, Kunsan National University, Chonbuk, South Korea;Department of Computer Science, Kunsan National University, Chonbuk, South Korea;Department of Computer Science, Kunsan National University, Chonbuk, South Korea;Department of Computer Science, Kunsan National University, Chonbuk, South Korea
Venue:
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Year:
2006

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Abstract

This paper presents a method for detecting scene changes in video sequences, in which the χ2-test is slightly modified by imposing weights according to NTSC standard. To automatically determine threshold values for scene change detection, the proposed method utilizes the frame differences that are obtained by the weighted χ2-test. In the first step, the mean of the difference values is calculated, and then, we subtract the mean difference value from each difference value. In the next steps, the same process is performed on the difference values, mean-subtracted frame differences, until the stopping criterion is satisfied. Finally, the threshold value for scene change detection is determined by the proposed automatic threshold decision algorithm. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method is reliably detects scene changes.