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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamic texture recognition


    Contributors:
    Saisan, P. (author) / Doretto, G. (author) / Ying Nian Wu, (author) / Soatto, S. (author)


    Publication date :

    2001-01-01


    Size :

    1091202 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Dynamic Texture Recognition

    Saisan, P. / Doretto, G. / Wu, Y. N. et al. | British Library Conference Proceedings | 2001


    Shift-Invariant Dynamic Texture Recognition

    Woolfe, Franco / Fitzgibbon, Andrew | Springer Verlag | 2006

    Free access

    Shift-Invariant Dynamic Texture Recognition

    Woolfe, F. / Fitzgibbon, A. | British Library Conference Proceedings | 2006


    Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms

    Lu, Zongqing / Xie, Weixin / Pei, Jihong et al. | IEEE | 2005


    Dynamic texture recognition with video set based collaborative representation

    Xie, Jin / Fang, Yi | British Library Online Contents | 2016