DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorTsapatsoulis, Nicolas-
dc.date.accessioned2024-11-06T09:57:02Z-
dc.date.available2024-11-06T09:57:02Z-
dc.date.issued2008-10-
dc.identifiergoogle_scholar-vd7COBsAAAAJ:MLfJN-KU85MC-
dc.identifier.isbn978-960-474-012-3-
dc.identifier.issn1790-2769-
dc.identifier.othervd7COBsAAAAJ:MLfJN-KU85MC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2866-
dc.description.abstractIn this paper we address some of the issues commonly encountered in automatic image annotation systems such as simultaneous labeling with keywords corresponding to both abstract terms and object classes, multiple keyword assignment, and low accuracy of labeling due to concurrent categorization to multiple classes. We propose a hierarchical classification scheme which is based on predefined XML-dictionaries of tree form. Every node of such a tree defines a particular classification task while the childs of the node correspond to classification categories. The winning class (subnode) defines the subsequent classification task and the process continues until the leafs of the tree are reached. The final classification task is performed at image segment level; that is every image segment is assigned a particular keyword corresponding to a tree leaf. The path followed from the root of the XML tree to the leafs along with the union of labels assigned to the image segments compose the list of annotationen_US
dc.language.isoenen_US
dc.publisherWSEASen_US
dc.relation.ispartofMathematical Methods, Computational Techniques, Non-linear Systems, Intelligent Systems: Proceedings of the 10th WSEAS International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS '08) and Proceedings of the 7th WSEAS International Conference on Non-Linear Analysis, Non-linear Systems and Chaos (NOLASC'08) and Proceedings of the 8th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS'08)en_US
dc.sourceWSEAS International Conference. Proceedings. Mathematics and Computers in …, 2008-
dc.subjectSemantic image annotationen_US
dc.subjectImage segmentationen_US
dc.subjectRegion-growingen_US
dc.subjectSupervised learningen_US
dc.subjectHierarchical classificationen_US
dc.subjectMultimedia content description interfaceen_US
dc.titleSemantic image annotation via hierarchical classificationen_US
dc.typeConference Paperen_US
dc.relation.conference10th WSEAS International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS '08) and 7th WSEAS International Conference on Non-Linear Analysis, Non-linear Systems and Chaos (NOLASC'08) and 8th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS'08), 26-28 October 2008, Corfu, Greeceen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage469en_US
dc.identifier.epage478en_US
dc.linkhttp://www.wseas.us/e-library/conferences/2008/corfu/mnw/mnw75.pdfen_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.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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