| Abstract |
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Content based video indexing and retrieval has its foundations in the analyses of the prime video temporal structures. Consequently, technologies for video segmentation and key-frame extraction have become crucial for the development of advanced digital video systems. Conventional algorithms for video partitioning and key-frame extraction are mainly implemented autonomously. By focusing the analysis on the compressed video features, this paper introduces a real-time algorithm for scene change detection and key-frame extraction that generates the frame difference metrics by analysing statistics of the macro-block features extracted from the MPEG compressed stream. The key-frame extraction method is implemented using difference metrics curve simplification by discrete contour evolution algorithm. This approach resulted in a fast and robust algorithm. Results of computer simulations are reported.
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 Additional Information
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Citation:
Janko Calic, Ebroul Izquierdo,
"Efficient Key-Frame Extraction and Video Analysis,"
itcc,
p. 0028,
International Conference on Information Technology: Coding and Computing,
2002
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