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The VIAMASS project aims to enhance image recognition by automatically discovering visual links within large image collections. By leveraging contextual information, it seeks to improve the efficiency and accuracy of visual data organization and navigation.
Hundreds of billions of images are hosted on the World Wide Web.
There is a huge interest in mining information in large image collections based on visual content.
Direct applications are the automatic organization of visual datasets, visual navigation, object recognition, and the traditional query-by-sample search.Although recent breakthroughs allow the search in millions of images on a single server with increasing quality, the accuracy of automatic recognition remains low compared to human’s…
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
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