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AutoAlbum: clustering digital photographs using probabilistic model merging Export

Content-based Access of Image and Video Libraries, 2000. Proceedings. IEEE Workshop on (06 August 2002), pp. 96-100.

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2000 clustering images summarization

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Consumers need help finding digital photographs in their personal collections. AutoAlbum helps users find their photos by automatically clustering photos into an album. The albums are presented in an easy-to-use browsing user interface. AutoAlbum uses the time and order of photo creation to assist in clustering: albums consist of temporally contiguous photos. The content based clustering algorithm is best-first probabilistic model merging, which is fast and yields clusters that are often semantically meaningful


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