DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorDoulamis, Anastasios-
dc.contributor.authorTsapatsoulis, Nicolas-
dc.contributor.authorDoulamis, Nikolaos-
dc.date.accessioned2024-11-01T10:23:57Z-
dc.date.available2024-11-01T10:23:57Z-
dc.date.issued2009-11-27-
dc.identifierscopus-70450167538-
dc.identifier.isbn978-3-642-04277-5-
dc.identifier.isbn978-3-642-04276-8-
dc.identifier.issn1611-3349-
dc.identifier.other70450167538-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2859-
dc.description.abstractCurrent low-level feature-based CBIR methods do not provide meaningful results on non-annotated content. On the other hand manual annotation is both time/money consuming and user-dependent. To address these problems in this paper we present an automatic annotation approach by clustering, in an unsupervised way, clickthrough data of search engines. In particular the query-log and the log of links the users clicked on are analyzed in order to extract and assign keywords to selected content. Content annotation is also accelerated by a carousel-like methodology. The proposed approach is feasible even for large sets of queries and features and theoretical results are verified in a controlled experiment, which shows that the method can effectively annotate multimedia files.en_US
dc.language.isoenen_US
dc.relation.ispartofArtificial Neural Networks - ICANN 2009en_US
dc.relation.ispartofseriesLecture Notes in Computer Scienceen_US
dc.subjectAutomatic annotation of multimediaen_US
dc.subjectClickthrough dataen_US
dc.subjectImage retrievalen_US
dc.titleUnsupervised clustering of clickthrough data for automatic annotation of multimedia contenten_US
dc.typeConference Paperen_US
dc.relation.conference19th International Confence on Artificial Neural Networks (ICANN 2009), 14-17 September 2009, Limassol, Cyprusen_US
dc.identifier.doi10.1007/978-3-642-04277-5_90en_US
dc.identifier.scopus2-s2.0-70450167538-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage895en_US
dc.identifier.epage904en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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