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Interactive Exploration for Image Retrieval


We present a new version of our content-based image retrieval system RETIN. It is based on adaptive quantization of the color space, together with new features aiming at representing the spatial relationship between colors. Color analysis is also extended to texture. Using these powerful indexes, an original interactive retrieval strategy is introduced. The process is based on two steps for handling the retrieval of very large image categories. First, a controlled exploration method of the database is presented. Second, a relevance feedback method based on statistical learning is proposed. All the steps are evaluated by experiments on a generalist database.

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Correspondence to Matthieu Cord.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Cord, M., Philipp-Foliguet, S., Gosselin, PH. et al. Interactive Exploration for Image Retrieval. EURASIP J. Adv. Signal Process. 2005, 649689 (2005).

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