On clustering and retrieval of video shots
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Video abstraction techniques for a digital library
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Compressed Domain Summarization of Digital Video
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Shot Classification of Sports Video Based on Features in Motion Vector Field
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An Authoring Tool Generating Various Video Abstractions Semi-automatically
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Video summarization based on user log enhanced link analysis
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Key frames and previews are two forms of a video abstract, widely used for various applications in video browsing and retrieval systems. We propose in this paper a novel method for generating these two abstract forms for an arbitrary video sequence. The underlying principle of the proposed method is the removal of the visual-content redundancy among video frames. This is done by first applying multiple partitional clustering to all frames of a video sequence and then selecting the most suitable clustering option(s) using an unsupervised procedure for cluster-validity analysis. In the last step, key frames are selected as centroids of obtained optimal clusters. Video shots, to which key frames belong, are concatenated to form the preview sequence