Color is an important attribute for image matching and retrieval. Most of the attention from the research literature has been focused on color indexing techniques based on global color distributions. However, these global distributions have limited discriminating power because they are unable to capture local color information. We present a wavelet-based salient point extraction algorithm. We show that extracting the color information in the locations given by these points provides significantly improved retrieval results as compared to the global color feature approaches.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Color indexing using wavelet-based salient points


    Beteiligte:
    Sebe, (Autor:in) / Tian, (Autor:in) / Loupias, (Autor:in) / Lew, (Autor:in) / Huang, (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    333981 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Color Indexing using Wavelet-based Salient Points

    Sebe, N. / Lew, M. / Loupias, E. et al. | British Library Conference Proceedings | 2000


    Image retrieval using wavelet-based salient points

    Tian, Q. / Sebe, N. / Lew, M. S. et al. | British Library Online Contents | 2001


    Indexing Based on Scale Invariant Interest Points

    Mikolajczyk, K. / Schmid, C. / IEEE | British Library Conference Proceedings | 2001


    Image indexing using weighted color histogram

    Du-Sik Park / Jong-Seung Park / Tae Yong Kim et al. | IEEE | 1999


    Indexing based on scale invariant interest points

    Mikolajczyk, K. / Schmid, C. | IEEE | 2001