Quality evaluation of depth map error concealment using a perceptually-aware objective metric

Marcelino, S.; Faria, S.; Pepion, R.; Le Callet, P.; Soares, S.; Assunção, P.

Publication

Quality evaluation of depth map error concealment using a perceptually-aware objective metric

2015-07Conference paper

datacite.subject.fos	Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg	09:Indústria, Inovação e Infraestruturas
dc.contributor.author	Marcelino, S.
dc.contributor.author	Faria, S.
dc.contributor.author	Pepion, R.
dc.contributor.author	Le Callet, P.
dc.contributor.author	Soares, S.
dc.contributor.author	Assunção, P.
dc.date.accessioned	2025-10-07T10:04:33Z
dc.date.available	2025-10-07T10:04:33Z
dc.date.issued	2015-07
dc.description	Article number - 7169373
dc.description	Conference name 9th 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2015
dc.description	Conference date 8 July 2015 - 10 July 2015
dc.description.abstract	This paper presents a quality evaluation study on the performance of error concealment methods for depth maps used in multiview video-plus-depth (MVD). The research deals with the problem of decoding corrupted depth maps received from error-prone networks, where the quality of the reconstructed depth data is not always directly related to the quality of the virtual views synthesised by those maps. Even after error concealment such distortions are not particularly perceived as other known types, such as coding distortion. Thus, traditional quality metrics are not adequate to capture all the relevant features. In this work, the performance of two error concealment methods for depth maps is evaluated using a perceptually-aware objective metric. This metric is validated through subjective assessment of virtual views synthesised with concealed depth maps. Each subjective test is performed by comparing the relative quality between between two synthesised images using different error concealment methods. The perceptual impact of reconstruction in corrupted depth of MVD is evaluated under various loss rates, using several colour images and depth maps encoded at multiple quantisation steps. The achieved results reveal that the proposed objective quality metric is mostly inline with user preferences, in respect to the relative performance of each error concealment method.	eng
dc.identifier.citation	S. Marcelino, S. Faria, R. Pepion, P. L. Callet, S. Soares and P. Assuncao, "Quality evaluation of depth map error concealment using a perceptually-aware objective metric," 2015 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), Lisbon, Portugal, 2015, pp. 1-4, doi: 10.1109/3DTV.2015.7169373
dc.identifier.doi	10.1109/3dtv.2015.7169373
dc.identifier.isbn	978-146738090-4
dc.identifier.issn	21612021
dc.identifier.uri	http://hdl.handle.net/10400.8/14216
dc.language.iso	eng
dc.peerreviewed	yes
dc.publisher	IEEE Computer Society
dc.relation.hasversion	https://ieeexplore.ieee.org/document/7169373
dc.relation.ispartof	2015 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject	Depth maps
dc.subject	Error concealment
dc.subject	MVD
dc.subject	Subjective Quality
dc.title	Quality evaluation of depth map error concealment using a perceptually-aware objective metric	eng
dc.type	conference paper
dspace.entity.type	Publication
oaire.citation.conferenceDate	2015-07
oaire.citation.conferencePlace	Lisbon, Portugal
oaire.citation.title	3DTV-Conference
oaire.version	http://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyName	Faria
person.familyName	Assunção
person.givenName	Sergio
person.givenName	Pedro
person.identifier.ciencia-id	8815-4101-28DD
person.identifier.ciencia-id	6811-3984-C17B
person.identifier.orcid	0000-0002-0993-9124
person.identifier.orcid	0000-0001-9539-8311
person.identifier.rid	C-5245-2011
person.identifier.rid	A-4827-2017
person.identifier.scopus-author-id	14027853900
person.identifier.scopus-author-id	6701838347
relation.isAuthorOfPublication	f69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication	25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication.latestForDiscovery	f69bd4d6-a6ef-4d20-8148-575478909661