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Abstract: Increasing interest in multimedia research has been drawn upon the development of video indexing and content-based image retrieval techniques. In this report, we proposed several pause detection algorithms, which instead of searching for significant visual transitions, the algorithms detect significant pauses in video streams. A realization of the algorithms was implemented using ImageTcl toolkit developed at Dartmouth Experimental Visualization Laboratory. In addition to proposing and studying the effectiveness of the pause detection algorithms, another major goal will be to incorporate our algorithms into ImageTcl and test the stability and applicability of the ImageTcl environment. Priliminary experiments showed relatively good results of our pause detection algorithms.

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   Xiaowen Liu, Charles B. Owen, and Fillia Makedon, "Automatic Video Pause Detection Filter." Dartmouth Computer Science Technical Report PCS-TR97-307, February 1997.

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