The development of a human-centered object based image retrieval engine

Eva M. van Rikxoort, B.J.A. Kröse (Editor), Egon van den Broek, H.J. Bos (Editor), E.A. Hendriks (Editor), Theo E. Schouten, J.W.J. Heijnsdijk (Editor)

    Research output: Contribution to conferencePaper

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    The development of a new object-based image retrieval (OBIR) engine is discussed. Its goal was to yield intuitive results for users by using human-based techniques. The engine utilizes a unique and efficient set of 15 features: 11 color categories and 4 texture features, derived from the color correlogram. These features were calculated for the center object of the images, which was determined by agglomerative merging. Subsequently, OBIR was applied, using the color and texture features of the center objects on the images. The final OBIR engine, as well as all intermediate versions, were evaluated in a CBIR benchmark, consisting of the engine, the Corel image database, and an interface module. The texture features proved to be useful in combination with the 11 color categories. In general, the engine proved to be fast and yields intuitive results for users.
    Original languageUndefined
    Number of pages8
    Publication statusPublished - 8 Jun 2005
    EventEleventh Annual Conference of the Advanced School for Computing and Imaging, ASCI 2005: Proceedings of the 11th ASCI 2005 conference - Heijen, The Netherlands
    Duration: 8 Jun 200510 Jun 2005


    ConferenceEleventh Annual Conference of the Advanced School for Computing and Imaging, ASCI 2005
    Other8-10 June 2005


    • object-based
    • color correlogram
    • human perception
    • EWI-21122
    • Image segmentation
    • IR-79155
    • Content-Based Image Retrieval (CBIR)
    • 11 color categories

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