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An Automatic Cut Detection Algorithm Using Median Filter And Neural Network  

Jun, Seung-Chul (VIP&MC Lab. Department of Computer Science & Engineering HanYang University)
Park, Sung-Han (VIP&MC Lab. Department of Computer Science & Engineering HanYang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.39, no.4, 2002 , pp. 381-387 More about this Journal
Abstract
In this paper, an efficient method to find shot boundaries in the MPEG video stream data is proposed. For this purpose, we first assume that the histogram difference value(HDV) and pixel difference value(PDV) as an one dimensional signal and apply the median filter to these signals. The output of the median filter is subtracted from the original signal to produce the median filtered difference(MFD). The MFD is a criterion of shot boundary. In addition a neural network is employed and trained to find exactly cut boundary. The proposed algorithm shows that the cut boundaries are well extracted, especially in a dynamic video.
Keywords
Video summarization; Video Index; Shot boundary detection; Key Frame;
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