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Attentional Mechanisms for Interactive Image Exploration

By Philippe Tarroux and Joseph Machrouh

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

Topics: exploratory vision, bottom-up exploration, top-down exploration, attention, situated vision., Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Technology, T, DOAJ:Electrical and Nuclear Engineering, DOAJ:Technology and Engineering, Telecommunication, TK5101-6720, Electronics, TK7800-8360
Publisher: Springer
Year: 2005
DOI identifier: 10.1155/ASP.2005.2391
OAI identifier: oai:doaj.org/article:14fd06b504a2416bb73e4dc694f5acd0
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