Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24127
Title: Attention-driven image interpretation with application to image retrieval
Authors: Fu, H
Chi, Z 
Feng, D
Issue Date: 2006
Publisher: Elsevier
Source: Pattern recognition, 2006, v. 39, no. 9, p. 1604-1621 How to cite?
Journal: Pattern recognition 
Abstract: Visual attention, a selective procedure of human's early vision, plays a very important role for humans to understand a scene by intuitively emphasizing some focused regions/objects. Being aware of this, we propose an attention-driven image interpretation method that pops out visual attentive objects from an image iteratively by maximizing a global attention function. In this method, an image can be interpreted as containing several perceptually attended objects as well as a background, where each object has an attention value. The attention values of attentive objectives are then mapped to importance factors so as to facilitate the subsequent image retrieval. An attention-driven matching algorithm is proposed in this paper based on a retrieval strategy emphasizing attended objects. Experiments on 7376 Hemera color images annotated by keywords show that the retrieval results from our attention-driven approach compare favorably with conventional methods, especially when the important objects are seriously concealed by the irrelevant background.
URI: http://hdl.handle.net/10397/24127
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2005.12.015
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