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16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
Extraction of Resource Descriptors for Distributed Content Based Image Retrieval
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
S. Berretti, University of Florence
A. Del Bimbo, University of Florence
P. Pala, University of Florence
Content based retrieval from distributed libraries raises new and challenging issues with respect to retrieval from a single repository. In particular, an effective management of distributed libraries develops upon three main processes: resource description (extraction of descriptors that qualify the content of a given archive), resource selection (given a user query, select the resources that contain relevant documents) and results merging (organize and present items returned by individual libraries). So far, these issues have been mainly addressed for text archives. In this paper, we propose a novel approach to the extraction and verification of resource descriptions for distributed collections of images.
Citation:
S. Berretti, A. Del Bimbo, P. Pala, "Extraction of Resource Descriptors for Distributed Content Based Image Retrieval," icpr, vol. 3, pp.30995, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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