Open Access

Interactive Exploration for Image Retrieval

  • Matthieu Cord1Email author,
  • Sylvie Philipp-Foliguet1,
  • Philippe-Henri Gosselin1 and
  • Jérôme Fournier1
EURASIP Journal on Advances in Signal Processing20052005:649689

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

Received: 15 January 2004

Published: 25 August 2005

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

Copyright

© Cord et al. 2005