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  • Research Article
  • Open Access

Attentional Mechanisms for Interactive Image Exploration

EURASIP Journal on Advances in Signal Processing20052005:730172

https://doi.org/10.1155/ASP.2005.2391

  • Received: 31 December 2003
  • Published:

Abstract

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

(1)
Situated Perception Group, Human-Machine Communication Department, LIMSI-CNRS, BP 133, Orsay, 91403, France
(2)
France Telecom Research & Development, 2 Pierre Marzin Avenue, BP 50702, Lannion Cedex, 22307, France
(3)
École Normale Supérieure, 45 rue d'Ulm, Paris Cedex 05, 75230, France

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