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3D video shot boundary detection based on clustering of depth-temporal features

2013-06Comunicação em conferência Acesso restrito
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorFerreira, Lino
dc.contributor.authorAssunção, Pedro
dc.contributor.authorCruz, Luis A. da Silva
dc.date.accessioned2026-03-06T17:48:35Z
dc.date.available2026-03-06T17:48:35Z
dc.date.issued2013-06
dc.description.abstractThis paper proposes an algorithm for automatic detection of 3D video shots with different perceptual features. The proposed algorithm is able to identify distinct three-dimensional visual scenes by detecting 3D video shot boundaries based on clustering of depth-temporal features. A combination of texture variation along the temporal dimension and depth variance is used by K-means clustering to find the stereo frames which comprised the 3D scene boundaries. An important characteristic of the proposed algorithm in comparison with others published in the literature for temporal segmentation of classic 2D video is that no thresholds are used in the decision processes neither training data sets. The experimental results show that the proposed method is capable of achieving high recall (e.g., 0.95) and precision rate (e.g., 1.0) in video sequences with both sharp and smooth 3D scene transitions.eng
dc.description.sponsorshipThis work was partially supported by Fundação para Ciência e Tecnologia (FCT), under grant SFRH/BD/37510/2007 and Project PTDC/EEA-TEL/114487/2009, co-financed by Programa Operacional Ciência e Inovação (POCI 2010) and Fundo Social Europeu (FSE).
dc.identifier.citationL. Ferreira, P. Assunção and L. A. da Silva Cruz, "3D video shot boundary detection based on clustering of depth-temporal features," 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI), Veszprem, Hungary, 2013, pp. 1-6, doi: 10.1109/CBMI.2013.6576543
dc.identifier.doi10.1109/cbmi.2013.6576543
dc.identifier.urihttp://hdl.handle.net/10400.8/15807
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationSCALABLE VIDEO CODING WITH DYNAMIC REGIONS OF INTEREST
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/6576543
dc.relation.ispartof2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)
dc.rights.uriN/A
dc.subject3D video segmentation
dc.subjectRecall and precision rate
dc.subjectShot boundary detection
dc.title3D video shot boundary detection based on clustering of depth-temporal featureseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberSFRH/BD/37510/2007
oaire.awardTitleSCALABLE VIDEO CODING WITH DYNAMIC REGIONS OF INTEREST
oaire.awardURIhttp://hdl.handle.net/10400.8/13106
oaire.citation.conferenceDate2013
oaire.citation.conferencePlaceVeszprem, Hungary
oaire.citation.endPage6
oaire.citation.startPage1
oaire.citation.titleProceedings - International Workshop on Content-Based Multimedia Indexing
oaire.fundingStreamFARH
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFerreira
person.familyNameAssunção
person.givenNameLino
person.givenNamePedro
person.identifier.ciencia-id061B-4DCB-78BE
person.identifier.ciencia-id6811-3984-C17B
person.identifier.orcid0000-0003-0648-6067
person.identifier.orcid0000-0001-9539-8311
person.identifier.ridAAA-4462-2020
person.identifier.ridA-4827-2017
person.identifier.scopus-author-id36881920000
person.identifier.scopus-author-id6701838347
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