Skip to main content

Interactive Exploration for Image Retrieval

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.

Author information

Affiliations

Authors

Corresponding author

Correspondence to Matthieu Cord.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Cord, M., Philipp-Foliguet, S., Gosselin, PH. et al. Interactive Exploration for Image Retrieval. EURASIP J. Adv. Signal Process. 2005, 649689 (2005). https://doi.org/10.1155/ASP.2005.2173

Download citation

Keywords and phrases

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