Skip to main content
  • Research Article
  • Open access
  • Published:

Attentional Mechanisms for Interactive Image Exploration


A lot of work has been devoted to content-based image retrieval from large image databases. The traditional approaches are based on the analysis of the whole image content both in terms of low-level and semantic characteristics. We investigate in this paper an approach based on attentional mechanisms and active vision. We describe a visual architecture that combines bottom-up and top-down approaches for identifying regions of interest according to a given goal. We show that a coarse description of the searched target combined with a bottom-up saliency map provides an efficient way to find specified targets on images. The proposed system is a first step towards the development of software agents able to search for image content in image databases.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Joseph Machrouh.

Rights and permissions

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.

Reprints and permissions

About this article

Cite this article

Machrouh, J., Tarroux, P. Attentional Mechanisms for Interactive Image Exploration. EURASIP J. Adv. Signal Process. 2005, 730172 (2005).

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI:

Keywords and phrases