Effective ways for querying images by content over the Internet

Vlachos, M; Vardangalos, G; Tatsiopoulos, C

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	https://dspace.lib.ntua.gr/xmlui/handle/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