Automatic partitioning of full-motion video |
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Authors: | HongJiang Zhang Atreyi Kankanhalli Stephen W Smoliar |
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Affiliation: | (1) Institute of Systems Science, National University of Singapore, Heng Mui Keng Terrace, Kent Ridge, 0511 Singapore, Republic of Singapore |
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Abstract: | Partitioning a video source into meaningful segments is an important step for video indexing. We present a comprehensive study of a partitioning system that detects segment boundaries. The system is based on a set of difference metrics and it measures the content changes between video frames. A twin-comparison approach has been developed to solve the problem of detecting transitions implemented by special effects. To eliminate the false interpretation of camera movements as transitions, a motion analysis algorithm is applied to determine whether an actual transition has occurred. A technique for determining the threshold for a difference metric and a multi-pass approach to improve the computation speed and accuracy have also been developed. |
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Keywords: | Image difference analysis Video partitioning Video indexing Multimedia |
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