Human-Centered Content-Based Image Retrieval

Egon van den Broek, Thijs Kok, Theo E. Schouten, Louis G. Vuurpijl

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    5 Citations (Scopus)
    32 Downloads (Pure)

    Abstract

    A breakthrough is needed in order to achieve a substantial progress in the field of Content-Based Image Retrieval (CBIR). This breakthrough can be enforced by: 1) optimizing user-system interaction, 2) combining the wealth of techniques from text-based Information Retrieval with CBIR techniques, 3) exploiting human cognitive characteristics, especially human color processing, and 4) conducting benchmarks with users for evaluating new CBIR techniques. In this paper, these guidelines are illustrated by findings from our research conducted the last five years, which have lead to the development of the online Multimedia for Art ReTrieval (M4ART) system: http://www.m4art.org. The M4ART system follows the guidelines on all four issues and is assessed on benchmarks using 5730 queries on a database of 30,000 images. Therefore, M4ART can be considered as a first step into a new era of CBIR.
    Original languageUndefined
    Title of host publicationHuman Vision and Electronic Imaging XIII
    EditorsBernice E. Rogowitz, Thrasyvoulos N. Pappas
    Place of PublicationBellingham, WA, USA
    PublisherSPIE - The International Society for Optical Engineering
    Pages68061L
    Number of pages12
    ISBN (Print)978-0-81946-978-6
    DOIs
    Publication statusPublished - 28 Jan 2008
    EventHuman Vision and Electronic Imaging XIII - San Jose, CA, USA
    Duration: 27 Jan 200831 Jan 2008

    Publication series

    NameProceedings of SPIE
    PublisherSPIE - The International Society for Optical Engineering
    Volume6806
    ISSN (Print)0277-786X

    Conference

    ConferenceHuman Vision and Electronic Imaging XIII
    Period27/01/0831/01/08
    Other27-31 January 2008

    Keywords

    • METIS-252707
    • Multimedia for Art ReTrieval (M4ART)
    • Benchmarking
    • Content-Based Image Retrieval
    • IR-58738
    • user-system interaction
    • human color perception
    • color categories
    • Texture
    • experts
    • M4ART
    • HMI-MR: MULTIMEDIA RETRIEVAL
    • EWI-21108
    • laypersons

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