DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorDoulamis, Anastasios-
dc.contributor.authorDoulamis, Nikolaos-
dc.date.accessioned2024-11-21T11:15:53Z-
dc.date.available2024-11-21T11:15:53Z-
dc.date.issued2002-12-01-
dc.identifierscopus-4944239425-
dc.identifier.isbn9608052645-
dc.identifier.other4944239425-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2917-
dc.description.abstractIn this paper an unsupervised scheme for stereoscopic video object extraction is presented based on a neural network classifier. More particularly, the procedure includes: (A) A retraining algorithm for adapting neural network weights to current conditions and (B) An active contour module, which extracts the retraining set. The retraining algorithm takes into consideration both the former and the current network knowledge in order to achieve good generalization and reduce retraining time. The retrained network performs video object tracking to the rest of the frames within a shot. Retraining set extraction is accomplished by utilizing depth information, provided by stereoscopic video analysis and incorporating an active contour. Finally results are presented which illustrate the promising performance of the proposed approach in real life experiments.en_US
dc.language.isoenen_US
dc.relation.ispartofRecent Advances in Circuits, Systems and Signal Processingen_US
dc.subjectActive contoursen_US
dc.subjectAdaptive neural networksen_US
dc.subjectDepth based segmentationen_US
dc.subjectMPEG-4en_US
dc.subjectVideo objectsen_US
dc.titleUnsupervised stereoscopic video object segmentation based on active contours and retrainable neural networksen_US
dc.typeBook Chapteren_US
dc.identifier.scopus2-s2.0-4944239425-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage374en_US
dc.identifier.epage379en_US
dc.linkhttps://www.scopus.com/record/display.uri?eid=2-s2.0-4944239425&origin=inward&txGid=35725666d6496a190bbf973ea272caeaen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeBook Chapter-
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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