This paper addresses the evaluation and comparison of algorithms for generalized image retrieval. The forms of evaluation currently in vogue are not calibrated with each other and thus do not allow the comparison of results reported by different research groups. We address the problem by proposing a class of tests that are algorithmically defined and relatively independent of the image test set. The proposed tests can be tailored to investigate retrieval performance under specific sets of adverse conditions, allowing additional insight into the strengths and weaknesses of different retrieval mechanisms.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using artificial queries to evaluate image retrieval


    Contributors:
    Howe, (author)


    Publication date :

    2000-01-01


    Size :

    137548 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Using Artificial Queries to Evaluate Image Retrieval

    Howe, N. / IEEE | British Library Conference Proceedings | 2000


    A 3D Shape Retrieval Framework Supporting Multimodal Queries

    Daras, P. / Axenopoulos, A. | British Library Online Contents | 2010


    Queries

    HUYBRECHT, W. W. / Colville, R / SÉ, CIAN Ó | Taylor & Francis Verlag | 2012


    QUERIES

    WEBB, A. J. / DAWSON, CHARLES / SHANNON, DAVID et al. | Taylor & Francis Verlag | 2006


    QUERIES

    JENKINS, H. J. K. / REED, R. E. / WAITE, S. T. et al. | Taylor & Francis Verlag | 2002