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A Three-Level Computational Attention Model

Mancas, Matei ; Gosselin, Bernard ; Macq, Benoît

The 5th International Conference on Computer Vision Systems, 2007
Bielefeld, 21. - 24. März 2007

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Abstract:

This article deals with a biologically-motivated three-level computational attention model architecture based on the rarity and the information theory framework. It mainly focuses on a low-level step which aims in fastly highlighting important areas and a middle-level step which analyses the behaviour of the detected areas. Their application on both still images and videos provide results to be used by the third high-level step.

DOI: 10.2390/biecoll-icvs2007-153

Keywords:		computational attention, visual importance, saliency, rarity
Institution:		Faculty of Technology, Research Groups in Informatics
DDC classification:		Data processing, computer science, computer systems

Suggested Citation:

Mancas, Matei ; Gosselin, Bernard ; Macq, Benoît (2007) A Three-Level Computational Attention Model. The 5th International Conference on Computer Vision Systems, 2007

URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/72

Questions or comments: publikationsdienste.ub@uni-bielefeld.de
Latest update: 15 Feb 2011
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