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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
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.
| Schlagwörter: |
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computational attention, visual importance, saliency, rarity |
| Beteiligte Einrichtung: |
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Technische Fakultät, Arbeitsgruppen der Informatik |
| DDC-Sachgruppe: |
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Datenverarbeitung, Informatik |
Zitat-Vorschlag:
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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