We propose a multiresolution indexing algorithm based on color histogram which exploits the wavelet decomposition and a customized quantization for content-based image retrieval. The aim is to extract automatically the chromatic content of the images and to represent it with simple, robust, efficient and low computational cost descriptors. The proposed method has been integrated for a complete CBIR system, where the classification of images is performed on a qualitative subjective color perception. The system allows testing the semantic and chromatic class homogeneity previously defined by a human observer. Experimental results have been evaluated by the quantitative assessment parameters (averaged precision and recall). Multiresolution proved to be a valid framework to introduce spatiality in color histogram indexing, to dramatically decrease the computational complexity and to validate the qualitative subjective classification.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Quantitative assessment of qualitative color perception in image database retrieval


    Contributors:


    Publication date :

    2001-01-01


    Size :

    546528 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Quantitative Assessment of Qualitative Color Perception in Image Database Retrieval

    Albanesi, M. / Bandelli, S. / Ferretti, M. et al. | British Library Conference Proceedings | 2001


    Color appearance approach to image database visual retrieval [3964-24]

    Marini, D. / Rizzi, A. / Society for Imaging Science and Technology et al. | British Library Conference Proceedings | 2000


    Toward Perception-based Image Retrieval

    Chang, E. / Li, B. / Li, C. et al. | British Library Conference Proceedings | 2000


    Toward perception-based image retrieval

    Chang, / Beitao Li, / Chen Li, | IEEE | 2000


    Human Color-Perception Oriented Image Processing

    Kano, H. / Genno, H. / Fujiwara, Y. et al. | British Library Online Contents | 1993