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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.


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



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