Abstract
Most of the existed scene change detection algorithms use fixed thresholds for finding the scene change. These thresholds are obtained by empirically or they must be calculated before the detection after the whole sequence is obtained. If Videos having high scene complexity and variation, then the Performance of most scene change algorithms decreases considerably. In this paper, we study the correlation between local statistical characteristics, scene duration and scene change. Based on this analysis, we further propose and implement a scene change algorithm for H.264 codec, defining an automated, dynamic threshold model with fast motion estimation algorithm with low complexity which can efficiently trace scene changes.
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