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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.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
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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