DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorDoulamis, Anastasios-
dc.contributor.authorDoulamis, Nikolaos-
dc.contributor.authorKollias, Stefanos-
dc.date.accessioned2024-10-10T08:12:31Z-
dc.date.available2024-10-10T08:12:31Z-
dc.date.issued1999-01-01-
dc.identifierscopus-84862946064-
dc.identifier.isbn0-7695-0446-9-
dc.identifier.other84862946064-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2806-
dc.description.abstractIn this paper, we present an efficient technique for unsupervised semantically meaningful object segmentation of stereoscopic video sequences. Using this technique we extract semantic objects using the additional information a stereoscopic pair of frames provides. Each pair is analyzed and the disparity field, occluded areas and depth map are estimated. The key algorithm, which is applied on the stereo pair of images and performs the segmentation, is a powerful low-complexity multiresolution implementation of the RSST algorithm. Color segment fusion is employed using the depth segments as a kind of constraint. Finally experimental results are presented which demonstrate the high-quality of semantic object segmentation this technique achieves.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings 1999 International Conference on Information Intelligence and Systemsen_US
dc.titleUnsupervised semantic object segmentation of stereoscopic video sequencesen_US
dc.typeConference Paperen_US
dc.relation.conference1999 International Conference on Information Intelligence and Systems, 31 October - 3 November 1999, Bethesda, Maryland, USAen_US
dc.identifier.doi10.1109/ICIIS.1999.810342en_US
dc.identifier.scopus2-s2.0-84862946064-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage527en_US
dc.identifier.epage533en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_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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