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Effective ways for querying images by content over the Internet

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dc.contributor.author Vlachos, M en
dc.contributor.author Vardangalos, G en
dc.contributor.author Tatsiopoulos, C en
dc.date.accessioned 2014-03-01T02:48:57Z
dc.date.available 2014-03-01T02:48:57Z
dc.date.issued 2000 en
dc.identifier.uri http://hdl.handle.net/123456789/34159
dc.subject Data Association en
dc.subject Graphical Interface en
dc.subject Human Computer Interface en
dc.subject Image Database en
dc.subject Image Indexing en
dc.subject Image Retrieval en
dc.subject Satisfiability en
dc.subject User Interface en
dc.subject Visual Features en
dc.title Effective ways for querying images by content over the Internet en
heal.type conferenceItem en
heal.identifier.primary 10.1109/MELCON.2000.880435 en
heal.identifier.secondary http://dx.doi.org/10.1109/MELCON.2000.880435 en
heal.publicationDate 2000 en
heal.abstract Increasing numbers of images have made explicit the need for more effective and efficient image indexing and searching of not only the meta-data associated with an image but also retrieval directly based on the content of the image. The scope of the COBWEB (COntext-Based image retrieval on the WEB) project (EP28773) is to create a pioneer system that provides a en
heal.journalName MELECON - IEEE Mediterranean Electrotechnical Conference en
dc.identifier.doi 10.1109/MELCON.2000.880435 en


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