Publication
Towards key-frame extraction methods for 3D video: a review
dc.contributor.author | Ferreira, Lino | |
dc.contributor.author | Luis A. da Silva Cruz | |
dc.contributor.author | Assunção, Pedro | |
dc.date.accessioned | 2025-05-28T13:54:33Z | |
dc.date.available | 2025-05-28T13:54:33Z | |
dc.date.issued | 2016-09-29 | |
dc.description.abstract | The 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.sponsorship | This 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.citation | Ferreira, 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.doi | 10.1186/s13640-016-0131-8 | |
dc.identifier.issn | 1687-5281 | |
dc.identifier.uri | http://hdl.handle.net/10400.8/13017 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation | UID/EEA/ 50008/2013 | |
dc.relation.hasversion | https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-016-0131-8 | |
dc.relation.ispartof | EURASIP Journal on Image and Video Processing | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | 3D key-frames extraction | |
dc.subject | 3D video summarisation | |
dc.subject | Shot boundary detection | |
dc.title | Towards key-frame extraction methods for 3D video: a review | eng |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50008%2F2013/PT | |
oaire.citation.issue | 1 | |
oaire.citation.title | EURASIP Journal on Image and Video Processing | |
oaire.citation.volume | 2016 | |
oaire.fundingStream | 5876 | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
person.familyName | Ferreira | |
person.familyName | Assunção | |
person.givenName | Lino | |
person.givenName | Pedro | |
person.identifier.ciencia-id | 061B-4DCB-78BE | |
person.identifier.ciencia-id | 6811-3984-C17B | |
person.identifier.orcid | 0000-0003-0648-6067 | |
person.identifier.orcid | 0000-0001-9539-8311 | |
person.identifier.rid | AAA-4462-2020 | |
person.identifier.rid | A-4827-2017 | |
person.identifier.scopus-author-id | 36881920000 | |
person.identifier.scopus-author-id | 6701838347 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
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