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  • Research Article
  • Open Access

Interactive Exploration for Image Retrieval

  • 1Email author,
  • 1,
  • 1 and
  • 1
EURASIP Journal on Advances in Signal Processing20052005:649689

https://doi.org/10.1155/ASP.2005.2173

  • Received: 15 January 2004
  • Published:

Abstract

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.

Keywords and phrases

  • image retrieval
  • indexing
  • statistical learning
  • classification
  • relevance feedback

Authors’ Affiliations

(1)
ETIS, CNRS UMR 8051, 6 avenue du Ponceau, Cergy-Pontoise Cedex, 95014, France

Copyright

© Cord et al. 2005

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