Relevance feedback is one of the strong components of Surfimage, the INRIA content-based image retrieval system. Relevance feedback is about learning from user interaction, and is useful in tasks like query refinement and multiple queries. We present two relevance feedback techniques currently implemented in Surfimage.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Relevance feedback in Surfimage


    Contributors:
    Meilhac, C. (author) / Mitschke, M. (author) / Nastar, C. (author)


    Publication date :

    1998-01-01


    Size :

    409057 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Relevance Feedback in Surfimage

    Meilhac, C. / Mitschke, M. / Nastar, C. | British Library Conference Proceedings | 1998


    Image retrieval with relevance feedback

    Li Fang, / Ang Yew Hock, | IEEE | 2000


    Image Retrieval with Relevance Feedback

    Fang, L. / Hock, A. | British Library Conference Proceedings | 2000


    Nearest neighbor search for relevance feedback

    Tesic, J. / Manjunath, B.S. | IEEE | 2003


    Nearest Neighbor Search for Relevance Feedback

    Tesic, J. / Manjunath, B. / IEEE | British Library Conference Proceedings | 2003