Abstract
This paper presents a method for detecting scene changes in video sequences, in which the χ 2-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 χ 2-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.
This research was supported by the Program for the Training of Graduate Students in Regional Innovation which was conducted by the Ministry of Commerce, Industry and Energy of the Korean Government.
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© 2006 Springer-Verlag Berlin Heidelberg
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Ko, KC., Kang, OH., Lee, CW., Park, KH., Rhee, YW. (2006). Scene Change Detection Using the Weighted Chi-Test and Automatic Threshold Decision Algorithm. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_114
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DOI: https://doi.org/10.1007/11751632_114
Publisher Name: Springer, Berlin, Heidelberg
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