The utilization of human color categorization for content-based image retrieval

Egon van den Broek, Bernice E. Rogowitz (Editor), Peter M.F. Kisters, Thrasyvoulos N. Pappas (Editor), Louis G. Vuurpijl

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    26 Citations (Scopus)
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    We present the concept of intelligent Content-Based Image Retrieval (iCBIR), which incorporates knowledge concerning human cognition in system development. The present research focuses on the utilization of color categories (or focal colors) for CBIR purposes, in particularly considered to be useful for query-by-heart purposes.However, this research explores its potential use for query-by-example purposes. Their use was validated for the field of CBIR by two experiments (26 subjects; stimuli: 4 times the 216 W3C web-safe colors) and one question ("mention ten colors"). Based on the experimental results a Color LookUp Table (CLUT) was defined. ThisCLUT was used to segment the HSI color space into the 11 color categories. With that a new color quantization method was introduced making a 11 bin color histogram configuration possible. This was compared with three other histogram configurations of 64, 166, and 4096 bins. Combined with the intersection and the quadratic distance measure we defined seven color matching systems. An experimentally founded benchmark for CBIR systems was implemented (1680 queries were performed measuring relevance and satisfaction). The 11 bin histogram configuration did have an average performance. A promising result since it was a naive implementation and is still a topic of development.
    Original languageUndefined
    Number of pages12
    Publication statusPublished - 19 Jan 2004
    EventHuman Vision and Electronic Imaging IX - San Jose, CA, USA
    Duration: 19 Jan 200421 Jan 2004


    ConferenceHuman Vision and Electronic Imaging IX
    Other19-21 January 2004


    • EWI-21037
    • focal colors
    • HMI-HF: Human Factors
    • Intelligent Content-Based Image Retrieval
    • human color perception
    • IR-79007
    • color matching
    • color categories
    • CBIR

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