The region-based approach has become a popular research trend in the field of multimedia database retrieval. We present the Region Frequency and Inverse Picture Frequency (RF/sup */IPF) weighting, a measure developed to unify region-based multimedia retrieval systems with text-based information retrieval systems. The weighting measure gives the highest weight to regions that occur often in a small number of images in the database. These regions are considered discriminators. With this weighting measure, we can blend image retrieval techniques with TF/sup */IDF-based text retrieval techniques for large-scale Web applications. The RF/sup */IPF weighting has been implemented as a part of our experimental SIMPLIcity image retrieval system and tested on a database of about 200000 general-purpose images. Experiments have shown that this technique is effective in discriminating images of different semantics. Additionally, the overall similarity approach enables a simple querying interface for multimedia information retrieval systems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    RF/sup */IPF: a weighting scheme for multimedia information retrieval


    Beteiligte:
    Wang, J.Z. (Autor:in) / Yanping Du, (Autor:in)


    Erscheinungsdatum :

    2001-01-01


    Format / Umfang :

    609889 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    RF^*IPF: A Weighting Scheme for Multimedia Information Retrieval

    Wang, J. / Du, Y. / IEEE | British Library Conference Proceedings | 2001


    Spatially aware feature selection and weighting for object retrieval

    Chen, Y. / Dick, A. / Li, X. et al. | British Library Online Contents | 2013


    Flexible Weighting-And-Matching Scheme For Incomplete Data

    Wang, Lui / Johnson, Gordon G. | NTRS | 1993



    Successive Interference Canceller with CSI Weighting Combining Scheme

    Katsuda, Hajime / Ohmori, Seiji / Akabane, Kazunori | IEEE | 2016