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- W1220085004 abstract "The need for efficient content-based image retrieval has increased hugely. Two meth- ods are recognized for describing the content of images: using global features and using local features. In this paper, we propose two methods for image retrieving based on visual similarity. The first one characterizes images by global features, when the second is based on local fea- tures. In the global descriptor attributes are computed on the whole image, whereas in the local descriptor attributes are computed on regions of the image. The aim of this paper is to compare global features versus local features for Web images retrieval. RESUME. On reconnait actuellement, dans les systemes de recherche d'image par contenu, deux methodes pour la description du contenu des images : a travers des attributs locaux ou a travers des attributs globaux. Dans ce papier, nous proposons deux methodes pour la recherche d'image qui sont basees sur la similitude visuelle. La premiere caracterise les images par des attributs globaux, alors que la seconde est basee sur les attributs locaux. Concernant le descripteur global, les attributs sont calcules sur l'ensemble de l'image, alors que pour le descripteur local, les attributs sont definis sur les regions de l'image. L'objectif de ce papier est d'evaluer les performances des attributs locaux contre les attributs globaux pour la recherche des images Web par contenu." @default.
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- W1220085004 date "2009-01-01" @default.
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- W1220085004 title "Survey of the Adequate Descriptor for Content-Based Image Retrieval on the Web: Global versus Local Features" @default.
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