In this paper, three new algorithms including optimal quantized wavelet correlogram (OQWC), wavelet CCV-correlogram (W3C), and color-W3C (CW3C) for content-based image indexing and retrieval are presented. In OQWC the threshold levels for wavelet coefficient quantization are optimized using an evolutionary process. W3C is an extension of OQWC that utilizes color coherence vectors (CCV) to include gray level and texture information in image index. Finally, CW3C is an extended version of W3C for effective color image indexing. The retrieval results obtained by the new methods on a 1000 image database demonstrate significant improvements in recall and rank compared to wavelet correlogram and SIMPLIcity methods.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Enhanced wavelet correlogram methods for image indexing and retrieval


    Beteiligte:


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    269536 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Enhanced Wavelet Correlogram Methods for Image Indexing and Retrieval

    Saadatmand-T, M. / Moghaddam, H. A. | British Library Conference Proceedings | 2005


    Image indexing using edge orientation correlogram [3964-11]

    Shanbehzadeh, J. / Mahmoudi, F. / Sarafzadeh, A. et al. | British Library Conference Proceedings | 2000



    Correlogram-Based Perceptual Similarity in Vehicle Probabilistic Tracking

    Mao, Yan Fen ;Chen, Ming | Trans Tech Publications | 2011


    Color for Image Indexing and Retrieval

    Gevers, T. / Finlayson, G. / Schettini, R. | British Library Online Contents | 2004