This paper outlines a new attention based similarity measure and describes an application to the problem of identifying image clusters in a 4 class problem. A diverse set of images was obtained using camera phones in 4 separate locations and classification performance was tested against the true location of the images. The approach promises to have application to the unsupervised extraction of unknown numbers of clusters in larger datasets.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An attention based similarity measure used to identify image clusters


    Contributors:

    Publication date :

    2005-01-01


    Size :

    5 pages



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    A Bayesian similarity measure for deformable image matching

    Moghaddam, B. / Nastar, C. / Pentland, A. | British Library Online Contents | 2001


    Image Registration: Similarity Measure and Preprocessing Method Comparisons

    Svedlow, Martin / McGillem, Clare D. / Anuta, Paul E. | IEEE | 1978


    Shape Similarity Measure for Image Database of Occluding Contours

    Latecki, L. J. / Lakamper, R. | British Library Conference Proceedings | 1998


    Image Similarity Measure for Featureless Face Identification Based on Symmetric Elastic Transformation

    Kopylov, A. V. / Ermakov, A. S. / Tatarchuk, A. I. | British Library Online Contents | 2005