Dynamic textures are sequences of images that exhibit some form of temporal stationarity, such as waves, steam, and foliage. We pose the problem of recognizing and classifying dynamic textures in the space of dynamical systems where each dynamic texture is uniquely represented. Since the space is non-linear, a distance between models must be defined We examine three different distances in the space of autoregressive models and assess their power.


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    Titel :

    Dynamic texture recognition


    Beteiligte:
    Saisan, P. (Autor:in) / Doretto, G. (Autor:in) / Ying Nian Wu, (Autor:in) / Soatto, S. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    1091202 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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