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A method to compute saliency regions in 3D video based on fusion of feature maps

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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorFerreira, Lino
dc.contributor.authorCruz, Luis A. da Silva
dc.contributor.authorAssunção, Pedro
dc.date.accessioned2025-06-18T15:47:45Z
dc.date.available2025-06-18T15:47:45Z
dc.date.issued2015
dc.descriptionConference name IEEE International Conference on Multimedia and Expo, ICME 2015
dc.descriptionConference date 29 June 2015 - 3 July 2015
dc.descriptionArticle number 7177474
dc.description.abstractEfficient computation of visual saliency regions has been a research problem in the recent past, but in the case of 3D content no definite solutions exist. This paper presents a computational method to determine saliency regions in 3D video, based on fusion of three feature maps containing perceptually relevant information from spatial, temporal and depth dimensions. The proposed method follows a bottom-up approach to predict the 3D regions where observers tend to hold their gaze for longer periods. Fusion of the feature maps is combined with a center-bias weighting function to determine 3D visual saliency map. For validation and performance evaluation, a publicly available database of 3D video sequences and corresponding fixation density maps was used as ground-truth. The experimental results show that the proposed method achieves better performance than other state-of-art models.eng
dc.identifier.citationL. Ferreira, L. A. da Silva Cruz and P. Assuncao, "A method to compute saliency regions in 3D video based on fusion of feature maps," 2015 IEEE International Conference on Multimedia and Expo (ICME), Turin, Italy, 2015, pp. 1-6, doi: 10.1109/ICME.2015.7177474.
dc.identifier.doi10.1109/icme.2015.7177474
dc.identifier.isbn978-147997082-7
dc.identifier.urihttp://hdl.handle.net/10400.8/13340
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/7177474
dc.relation.ispartof2015 IEEE International Conference on Multimedia and Expo (ICME)
dc.rights.uriN/A
dc.subject3D visual saliency maps
dc.subjectCenter-Bias weighting and perceptual features
dc.subjectvisual attention models
dc.titleA method to compute saliency regions in 3D video based on fusion of feature mapseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2015-06
oaire.citation.conferencePlaceTurin, Italy
oaire.citation.endPage6
oaire.citation.startPage1
oaire.citation.title2015 IEEE International Conference on Multimedia and Expo (ICME),
oaire.citation.volume2015-August
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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