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Summarization of MPEG Compressed Video Sequences

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Video summarization is a fundamental process in video content management systems and aims providing video abstract for navigation and browsing the original video. In this paper, we describe a novel video summarization technique that works in the compressed domain, in particular MPEG videos. Our system first divides a video sequence into shots by detecting abrupt and gradual scene changes using DC histogram differences, then extracts key frames to generate a video summary using hierarchical agglomerative clustering. A set of predefined specifications are set to filter out some clusters and to determine a representative key frame from each shot.
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Keywords: DC HISTOGRAM; HIERARCHICAL AGGLOMERATIVE CLUSTERING; KEY FRAME EXTRACTION; SCENE BOUNDARY DETECTION; VIDEO SUMMARIZATION

Document Type: Research Article

Publication date: 2011-11-01

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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