Visual Information Retrieval From Annotated Large Audiovisual Assets Based On User Profiling And Collaborative Recommendations

Ntalianis, K; Ioannou, S; Karpouzis, K; Moschovitis, G; Kollias, S

dc.contributor.author	Ntalianis, K	en
dc.contributor.author	Ioannou, S	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Moschovitis, G	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:49:07Z
dc.date.available	2014-03-01T02:49:07Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34310
dc.subject	Multimedia Database	en
dc.subject	Multimedia Database System	en
dc.subject	Relevance Feedback	en
dc.subject	Search Algorithm	en
dc.subject	User Profile	en
dc.subject	Visual Information Retrieval	en
dc.title	Visual Information Retrieval From Annotated Large Audiovisual Assets Based On User Profiling And Collaborative Recommendations	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICME.2001.1237893	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICME.2001.1237893	en
heal.publicationDate	2001	en
heal.abstract	Current multimedia databases contain a wealth of information in the form of audiovisual and text data. Even though efficient search algorithms have been developed for either media, there still exists the need for abstract data presentation and summarization. Moreover, retrieval systems should be capable of providing the user with additional information related to the specific subject of the query, as	en
heal.journalName	International Conference on Multimedia Computing and Systems/International Conference on Multimedia and Expo	en
dc.identifier.doi	10.1109/ICME.2001.1237893	en