Shot Boundary Detection Using a Global Decision Tree in Ubiquitous Environment

Role of video in Ubiquitous environment is growing. This paper presents a shot boundary detection method based on the global decision tree that allows for extraction of boundaries of high variations occurring due to camera breaks from frame difference values. For a start, difference values between frames are calculated through local X2-histogram and normalization. Next, the distances between difference values are calculated through normalization. After the global threshold distance is computed based on the distances between the difference values calculated, a comparison between the distance value for two adjacent frames and the global threshold distance is performed to detect shot boundaries.

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