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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    AutoAlbum: clustering digital photographs using probabilistic model merging


    Beteiligte:
    Platt, (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    124704 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Auto Album: Clustering Digital Photographs using Probabilistic Model Merging

    Platt, J. / IEEE | British Library Conference Proceedings | 2000



    Freeway-Merging Operations: A Probabilistic Approach

    Elefteriadou, L. / Technical University of Crete; Department of Production ad Management Engineering | British Library Conference Proceedings | 1997


    A Probabilistic Model of Fuzzy Clustering Ensemble

    Berikov, V. B. | British Library Online Contents | 2018


    Merging Probabilistic Data of Mutliple Targets Detected by Multiple Sensors

    Spilling, James / Tsourdos, Antonios / Silson, Peter et al. | AIAA | 2009