A Three-Level Computational Attention Model

Mancas, Matei;Gosselin, Bernard;Macq, Benoît
(2007) The 5th International Conference on Computer Vision Systems, 2007 Bielefeld (GERMANY) — Location: Bielefeld (21.March.2007)

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  • Mancas, MateiFPMs
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  • Gosselin, BernardFPMs
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  • Macq, Benoîtorcid-logoUCLouvain
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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.
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Mancas, M., Gosselin, B., & Macq, B. (2007). A Three-Level Computational Attention Model. The 5th International Conference on Computer Vision Systems, 2007 Bielefeld (GERMANY), Bielefeld. https://hdl.handle.net/2078.5/60322