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.
Extraction of Resource Descriptors for Distributed Content Based Image Retrieval / S. BERRETTI; A. DEL BIMBO; P. PALA. - STAMPA. - 16:(2002), pp. 995-998. (Intervento presentato al convegno Int. Conf. on Pattern Recognition tenutosi a Quèbec City, Canada nel August 11-15) [10.1109/ICPR.2002.1048205].
Extraction of Resource Descriptors for Distributed Content Based Image Retrieval
BERRETTI, STEFANO;DEL BIMBO, ALBERTO;PALA, PIETRO
2002
Abstract
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.File | Dimensione | Formato | |
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