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Title: A bio-inspired proposal for focus attention while preserving information
Authors: Bolívar Toledo, O.
Quevedo Losada, J. C. 
Muñoz Blanco, J. A. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Visual attention
Visual information
Retinal mechanism
computational modelling
Atención visual, et al
Issue Date: 2009
Journal: Advances in Soft Computing 
Conference: 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 08) 
Abstract: The interplay between the design of layered computing systems and the study of real visual structures and functions is a very fruitful area in which the characteristics of the natural systems inspire properties and design criteria of the artificial counterparts. Visual saliency and attention mechanism are two of the most explored and interesting features of the visual processing in higher vertebrates. In general, visual saliency refers at the propensity of some visual features to attract attention, while attention by itself requires a voluntary effort to locate places of interest in the visual scene. In this paper we present a study of a mechanism of attention that has variable selection criteria based in highlighting some feature or object in the image while blurring the rest of it. The fact that all the information is preserved in the process, allow us to be able to select a new location of interest in a efficient way. This mechanism is based in a class of transform which combines partitions of the data field and functionals acting on them and is suitable to perform a selection process of the attended location with different levels of resolution.
ISBN: 978-3-540-85860-7
ISSN: 1615-3871
DOI: 10.1007/978-3-540-85861-4_3
Source: Corchado J.M., De Paz J.F., Rocha M.P., Fernández Riverola F. (eds) 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008). Advances in Soft Computing, vol 49. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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