Attentional mechanisms for interactive image exploration

  • Authors:
  • Joseph Machrouh;Philippe Tarroux

  • Affiliations:
  • Situated Perception Group, Human-Machine Communication Department, LIMSI-CNRS, Orsay, France and France Telecom Research & Development, Lannion Cedex, France;Situated Perception Group, Human-Machine Communication Department, LIMSI-CNRS, Orsay, France and École Normale Supérieure, Paris Cedex, France

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2005

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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.