User-centric evolution of multimedia content description

Doulamis, A; Doulamis, N

dc.contributor.author	Doulamis, A	en
dc.contributor.author	Doulamis, N	en
dc.date.accessioned	2014-03-01T02:44:21Z
dc.date.available	2014-03-01T02:44:21Z
dc.date.issued	2006	en
dc.identifier.issn	22195491	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31769
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84862593107&partnerID=40&md5=20146be4f4db82c648f78dacedadafa5	en
dc.relation.uri	http://www.eurasip.org/Proceedings/Eusipco/Eusipco2006/papers/1568982189.pdf	en
dc.subject	User Profile	en
dc.subject.other	Content description	en
dc.subject.other	Descriptors	en
dc.subject.other	Multimedia algorithms	en
dc.subject.other	Multimedia content description	en
dc.subject.other	User profile	en
dc.subject.other	User-centric	en
dc.subject.other	Signal processing	en
dc.subject.other	Algorithms	en
dc.title	User-centric evolution of multimedia content description	en
heal.type	conferenceItem	en
heal.publicationDate	2006	en
heal.abstract	Humans usually interprets the same content is a different way mainly due to their subjective perception. For this reason, generic multimedia content description schemes, which remain constant regardless of the user's preferences, are not appropriate for a reliable and efficient content description. In this paper, a user-centric multimedia content description scheme is proposed. In particular, initially simple content multimedia algorithms are applied and in the following (and based on user's profile) particular descriptor algorithms are analyzed in more details in a progressive framework. This results in a multi-layer oriented scheme. To estimate, which descriptors are important for a particular user, a user profile estimator is applied by exploiting user's interaction. In particular, visual descriptor is organized into different categories, the energy of which determines the respective degree of importance.	en
heal.journalName	European Signal Processing Conference	en