Open Access

Attentional Mechanisms for Interactive Image Exploration

EURASIP Journal on Advances in Signal Processing20052005:730172

Received: 31 December 2003

Published: 25 August 2005


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.

Keywords and phrases

exploratory vision bottom-up exploration top-down exploration attention situated vision

Authors’ Affiliations

Situated Perception Group, Human-Machine Communication Department, LIMSI-CNRS
France Telecom Research & Development
École Normale Supérieure


© J. Machrouh and P. Tarroux 2005

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.