DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorDoulamis, Anastasios-
dc.contributor.authorTsapatsoulis, Nicolas-
dc.date.accessioned2024-10-17T09:27:20Z-
dc.date.available2024-10-17T09:27:20Z-
dc.date.issued2010-10-29-
dc.identifierscopus-78650452415-
dc.identifier.isbn978-1-4503-0163-3-
dc.identifier.other78650452415-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2839-
dc.description.abstractIn this paper a novel approach for automatically annotating image databases is proposed. Despite most current approaches that are just based on spatial content analysis, the proposed method properly combines implicit feedback information and visual concept models for semantically annotating images. Our method can be easily adopted by any multimedia search engine, providing an intelligent way to even annotate completely non-annotated content. The proposed approach currently provides very interesting results in limited-content environments and it is expected to add significant value to billions of non-annotated images existing in the Web. Furthermore expert annotators can gain important knowledge relevant to user new trends, language idioms and styles of searching.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 1st ACM Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS'10)en_US
dc.subjectAutomatic image annotationen_US
dc.subjectClickthrough dataen_US
dc.subjectUser implicit feedbacken_US
dc.subjectVisual concept modelingen_US
dc.titleImplicit visual concept modeling in image / video annotationen_US
dc.typeConference Paperen_US
dc.relation.conference1st ACM Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS'10), 29 October 2010, Firenze, Italyen_US
dc.identifier.doi10.1145/1877868.1877878en_US
dc.identifier.scopus2-s2.0-78650452415-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage33en_US
dc.identifier.epage38en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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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