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3D key-frame extraction method based on visual saliency

2016-12Conference paper Restricted access
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dc.contributor.authorFerreira, Lino
dc.contributor.authorAssunção, Pedro
dc.contributor.authorCruz, Luis A. da Silva
dc.date.accessioned2025-06-18T09:40:50Z
dc.date.available2025-06-18T09:40:50Z
dc.date.issued2016-12
dc.description.abstractThis paper presents a method for key-frame extraction from 3D video using visual saliency to weight the 3D content according to a user attention model. Key-frames are found in temporal segments of arbitrary length (i.e., 3D scenes) using a dynamic programming algorithm which minimises the dissimilarity between the reconstructed and the original temporal segment. The dissimilarity measure is based on a combination of frame difference and visual relevance estimated through visual saliency maps. These maps result from attention modeling, taking into account spatial, temporal and depth features of the 3D video content. The results, evaluated using the Shot Reconstruction Degree and the Fidelity measure, show that the proposed method outperforms those obtained from uniform sampling and attention curve methods. This method may be useful for fast browsing of 3D video repositories.eng
dc.identifier.citationL. Ferreira, P. Assuncao and L. A. da Silva Cruz, "3D key-frame extraction method based on visual saliency," 2016 International Conference on 3D Imaging (IC3D), Liege, Belgium, 2016, pp. 1-7, doi: 10.1109/IC3D.2016.7823460
dc.identifier.doi10.1109/ic3d.2016.7823460
dc.identifier.urihttp://hdl.handle.net/10400.8/13315
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherIEEE
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/7823460
dc.relation.ispartof2016 International Conference on 3D Imaging (IC3D)
dc.rights.uriN/A
dc.subjectVideo summaries
dc.subject3D key-frames
dc.subjectVisual saliency maps
dc.title3D key-frame extraction method based on visual saliencyeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2016
oaire.citation.conferencePlaceLiege, Belgium
oaire.citation.title2016 International Conference on 3D Imaging (IC3D)
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
relation.isAuthorOfPublication03a0439a-a3c2-4fb1-8239-10b98d64659a
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication.latestForDiscovery03a0439a-a3c2-4fb1-8239-10b98d64659a

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