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Proceedings Paper

Human-centered content-based image retrieval
Author(s): Egon L. van den Broek; Thijs Kok; Theo E. Schouten; Louis G. Vuurpijl
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Paper 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.

Paper Details

Date Published: 14 February 2008
PDF: 12 pages
Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 68061L (14 February 2008); doi: 10.1117/12.767190
Show Author Affiliations
Egon L. van den Broek, Univ. of Twente (Netherlands)
Thijs Kok, Radboud Univ. Nijmegen (Netherlands)
Theo E. Schouten, Radboud Univ. Nijmegen (Netherlands)
Louis G. Vuurpijl, Radboud Univ. Nijmegen (Netherlands)

Published in SPIE Proceedings Vol. 6806:
Human Vision and Electronic Imaging XIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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