The Bayesian relevance feedback approach introduced with the PicHunter system (Cox, Miller, Omohundro and Yianilos, Int. Conf. on Pattern Recognition, pp. 361-369, 1996) is extended to include hidden semantic attributes. The general approach is motivated and experimental results are presented that demonstrate significant reductions in search times (28-32%) using these annotations


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Hidden annotation in content based image retrieval


    Contributors:
    Cox, I.J. (author) / Papathomas, T.V. (author) / Ghosn, J. (author) / Yianilos, P.N. (author) / Miller, M.L. (author)


    Publication date :

    1997-01-01


    Size :

    578725 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Hidden Annotation in Content Based Image Retrieval

    Cox, I. J. / Papathomas, T. V. / Ghosh, J. et al. | British Library Conference Proceedings | 1997


    Robust image retrieval with hidden classes

    Zhang, J. / Ye, L. / Xiang, Y. et al. | British Library Online Contents | 2013


    ObjectPatchNet: Towards scalable and semantic image annotation and retrieval

    Zhang, S. / Tian, Q. / Hua, G. et al. | British Library Online Contents | 2014


    A probabilistic semantic model for image annotation and multimodal image retrieval

    Ruofei Zhang, / Zhongfei Zhang, / Mingjing Li, et al. | IEEE | 2005


    Hidden Semantic Concept Discovery in Region Based Image Retrieval

    Zhang, R. / Zhang, Z. / IEEE Computer Society | British Library Conference Proceedings | 2004