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A Collection of Visual Thesauri for Browsing Large Collections of Geographic Images

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24 out of 50 users found this white paper useful


Publisher University of Arizona Computer Science Department
Publisher Registration Direct access
Topics GPS - GIS, Graphics Applications, Multimedia, Cataloging Date added 14 Aug 2003
Downloads 5 Format HTML

Digital libraries of geo-spatial multimedia content are currently defficient in providing fuzzy, concept-based retrieval mechanisms to users. The main challenge being that indexing and thesaurus creation are extremely labor-intensive processes for text documents and especially for images. Currently, several terabytes of digitized satellite photographs are generated weekly by the LANDSAT and SPOT satellites. Additionally, millions of aerial photographs are archived in map libraries. Such enormous collections make human indexing and thesaurus generation methods impossible to utilize. In this paper we propose a scalable method to automatically generate visual thesauri of large collections of geo-spatial media using fuzzy, unsupervised machine learning techniques.

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24 out of 50 users found this white paper useful


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