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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    Title :

    AutoAlbum: clustering digital photographs using probabilistic model merging


    Contributors:
    Platt, (author)


    Publication date :

    2000-01-01


    Size :

    124704 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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