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A scene segmentation method utilizing both visual features and motion features of video is presented in this paper. Not only the visual similarity but also the motion consistency of shots within a scene is considered in clustering shots into scenes. In addition, a method to merge the over-segmented scenes is presented also. And the experimental results show the effectiveness of the proposed algorithms.
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