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Towards key-frame extraction methods for 3D video: a review

dc.contributor.authorFerreira, Lino
dc.contributor.authorLuis A. da Silva Cruz
dc.contributor.authorAssunção, Pedro
dc.date.accessioned2025-05-28T13:54:33Z
dc.date.available2025-05-28T13:54:33Z
dc.date.issued2016-09-29
dc.description.abstractThe increasing rate of creation and use of 3D video content leads to a pressing need for methods capable of lowering the cost of 3D video searching, browsing and indexing operations, with improved content selection performance. Video summarisation methods specifically tailored for 3D video content fulfil these requirements. This paper presents a review of the state-of-the-art of a crucial component of 3D video summarisation algorithms: the key-frame extraction methods. The methods reviewed cover 3D video key-frame extraction as well as shot boundary detection methods specific for use in 3D video. The performance metrics used to evaluate the key-frame extraction methods and the summaries derived from those key-frames are presented and discussed. The applications of these methods are also presented and discussed, followed by an exposition about current research challenges on 3D video summarisation methods.eng
dc.description.sponsorshipThis work was supported by the R&D Unit UID/EEA/ 50008/2013, Project 3DVQM and PhD Grant SFRH/ BD/37510/2007, co-funded by FEDER-PT2020, FCT/ MEC, Portugal.
dc.identifier.citationFerreira, L., da Silva Cruz, L.A. & Assuncao, P. Towards key-frame extraction methods for 3D video: a review. J Image Video Proc. 2016, 28 (2016). https://doi.org/10.1186/s13640-016-0131-8
dc.identifier.doi10.1186/s13640-016-0131-8
dc.identifier.issn1687-5281
dc.identifier.urihttp://hdl.handle.net/10400.8/13017
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media LLC
dc.relationUID/EEA/ 50008/2013
dc.relation.hasversionhttps://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-016-0131-8
dc.relation.ispartofEURASIP Journal on Image and Video Processing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject3D key-frames extraction
dc.subject3D video summarisation
dc.subjectShot boundary detection
dc.titleTowards key-frame extraction methods for 3D video: a revieweng
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50008%2F2013/PT
oaire.citation.issue1
oaire.citation.titleEURASIP Journal on Image and Video Processing
oaire.citation.volume2016
oaire.fundingStream5876
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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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