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A Three-Level Computational Attention Model

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Mancas, Matei [FPMs] Gosselin, Bernard [FPMs] Macq, Benoît [UCL]

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.

Document type Communication à un colloque (Conference Paper)
Publication date 2007
Language Anglais
Conference "The 5th International Conference on Computer Vision Systems, 2007 Bielefeld (GERMANY)", Bielefeld (du 21/03/2007 au 24/03/2007)
Affiliations FPMs - TCTS
UCL - FSA/ELEC - Département d'électricité
Keywords SIGN
Links
Bibliographic reference Mancas, Matei ; Gosselin, Bernard ; Macq, Benoît. A Three-Level Computational Attention Model.The 5th International Conference on Computer Vision Systems, 2007 Bielefeld (GERMANY) ( Bielefeld, du 21/03/2007 au 24/03/2007).
Permanent URL http://hdl.handle.net/2078.1/90830