Precise Photo Retrieval on the Web with a Fuzzy Logic\Neural Network-Based Meta-search Engine

Anagnostopoulos, I; Anagnostopoulos, C; Kouzas, G; Vergados, D

dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Anagnostopoulos, C	en
dc.contributor.author	Kouzas, G	en
dc.contributor.author	Vergados, D	en
dc.date.accessioned	2014-03-01T02:49:41Z
dc.date.available	2014-03-01T02:49:41Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34683
dc.subject	Fuzzy Logic	en
dc.subject	Image Processing	en
dc.subject	Image Search	en
dc.subject	Indexation	en
dc.subject	Information Filtering	en
dc.subject	Information Retrieval	en
dc.subject	meta search engine	en
dc.subject	Search Engine	en
dc.subject	Text Analysis	en
dc.subject	Web Pages	en
dc.subject	Neural Network	en
dc.title	Precise Photo Retrieval on the Web with a Fuzzy Logic\Neural Network-Based Meta-search Engine	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-24674-9_6	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-24674-9_6	en
heal.publicationDate	2004	en
heal.abstract	Nowadays most web pages contain both text and images. Neverthe- less, search engines index documents based on their disseminated content or their meta-tags only. Although many search engines offer image search, this service is based over textual information filtering and retrieval. Thus, in order to facilitate effective search for images on the web, text analysis and image processing must work	en
heal.journalName	Hellenic Conference on Artificial Intelligence	en
dc.identifier.doi	10.1007/978-3-540-24674-9_6	en