Human-Centered Content-Based Image Retrieval


Broek, Egon L. van den and Kok, Thijs and Schouten, Theo E. and Vuurpijl, Louis G. (2008) Human-Centered Content-Based Image Retrieval. In: Bernice E. Rogowitz & Thrasyvoulos N. Pappas (Eds.), Human Vision and Electronic Imaging XIII. Proceedings of SPIE, 6806 . SPIE, the International Society for Optical Engineering. ISBN 9780819469786

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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: 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.
Item Type:Book Section
Copyright:© 2008 SPIE, the International Society for Optical Engineering
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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