An Improved Sliding Window Method for Shot Change Detection

S. Li and M.C. Lee (PRC)


Cut detection, thresholds, video process


The conventional sliding window (CSW) method has long been used in video segmentation for its adaptive thresholding technique. A hard cut is detected based on the ratio between the current feature value and its local neighborhood in the sliding window. Yet it has a relatively high rate of false alarm and missed cuts. This paper proposes an improved sliding window method which employs multi adaptive thresholds during the three step processing of frame-by-frame discontinuity values. The proposal method uses possibility values produced from different thresholds to measure the degree of possibility of a cut’s presence. Detecting a cut based on possibility values, the method is more robust to camera/object motions. Experiment results show that our method has better detection accuracy than several other reported methods.

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