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Supporting image search on the web

Conference Paper
Publication Date:
1998
abstract:
While pages on the Web contain more and more multimedia information, such as images, videos and audio, today search engines are mostly based on textual information. There is an emerging need of a new generation of search engines that try to exploit the full multimedia information present on the Web. The approach presented in this paper is based on a multimedia model intended to describe the various multimedia components, their structure and their relationships with a pre-defined taxonomy of concepts, in order to support the information retrieval process. A prototype of an image search engine, based on this approach, is presented as a first step in this direction, and results are discussed.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Multimedia databases; Systems; Information search and retrieval
List of contributors:
Amato, Giuseppe; Savino, Pasquale; Rabitti, Fausto
Authors of the University:
AMATO GIUSEPPE
Handle:
https://iris.cnr.it/handle/20.500.14243/3455
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/3455/7776/prod_217791-doc_50942.pdf
Published in:
ELECTRONIC WORKSHOPS IN COMPUTING
Series
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URL

http://ewic.bcs.org/content/ConWebDoc/4428
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