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Perceptually driven video error protection using a distributed source coding approach

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dc.contributor.authorSeixas Dias, Andre
dc.contributor.authorBrites, Catarina
dc.contributor.authorAscenso, Joao
dc.contributor.authorPereira, Fernando
dc.date.accessioned2015-08-18T15:32:10Z
dc.date.available2015-08-18T15:32:10Z
dc.date.issued2014
dc.description.abstractIn video communication systems, the video signals are typically compressed and sent to the decoder through an error-prone transmission channel that may corrupt the compressed signal, causing the degradation of the final decoded video quality. In this context, it is possible to enhance the error resilience of typical predictive video coding schemes using as inspiration principles and tools from an alternative video coding approach, the so-called Distributed Video Coding (DVC), based on the Distributed Source Coding (DSC) theory. Further improvements in the decoded video quality after error-prone transmission may also be obtained by considering the perceptual relevance of the video content, as distortions occurring in different regions of a picture have a different impact on the user's final experience. In this context, this paper proposes a Perceptually Driven Error Protection (PDEP) video coding solution that enhances the error resilience of a state-of-the-art H.264/AVC predictive video codec using DSC principles and perceptual considerations. To increase the H.264/AVC error resilience performance, the main technical novelties brought by the proposed video coding solution are: (i) design of an improved compressed domain perceptual classification mechanism; (ii) design of an improved transcoding tool for the DSC-based protection mechanism; and (iii) integration of a perceptual classification mechanism in an H.264/AVC compliant codec with a DSC-based error protection mechanism. The performance results obtained show that the proposed PDEP video codec provides a better performing alternative to traditional error protection video coding schemes, notably Forward Error Correction (FEC)-based schemes. (C) 2013 Elsevier B.V. All rights reserved.por
dc.identifier.citationDIAS, André Seixas; [et al] – Perceptually driven vídeo error protection using a distributed source coding approach. Signal Processing-Image Communication. ISSN: 0923-5965. Vol. 29, nr. 1 (2014) p. 1-22.
dc.identifier.doi10.1016/j.image.2013.08.021
dc.identifier.issn0923-5965
dc.identifier.issn1879-2677
dc.identifier.urihttp://hdl.handle.net/10400.21/4823
dc.language.isoengen
dc.peerreviewedyespor
dc.publisherElsevier Science BVpor
dc.relation2013 - Strategic Project
dc.subjectH.264/AVC Codingpor
dc.subjectPerceptual Classificationpor
dc.subjectError Protectionpor
dc.subjectDistributed Source Codingpor
dc.titlePerceptually driven video error protection using a distributed source coding approachpor
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitle2013 - Strategic Project
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FEEI%2FLA0008%2F2013/PT
oaire.citation.conferencePlaceAmsterdampor
oaire.citation.endPage22por
oaire.citation.issue1por
oaire.citation.startPage1por
oaire.citation.titleSignal Processing-Image Communicationpor
oaire.citation.volume29por
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSeixas Dias
person.familyNameAscenso
person.familyNamePereira
person.givenNameAndre
person.givenNameJoão
person.givenNameFernando
person.identifier.ciencia-id361C-6DEB-6354
person.identifier.orcid0000-0002-6048-1112
person.identifier.orcid0000-0001-9902-5926
person.identifier.orcid0000-0001-7255-369X
person.identifier.ridB-9024-2008
person.identifier.scopus-author-id15845257200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication59f8a21f-9a50-481b-bb87-e30314a09ec3
relation.isAuthorOfPublication08c5791e-8403-40c2-b95c-3865ca87a65b
relation.isAuthorOfPublication7a448068-c78a-4f07-988e-3793c38f0e73
relation.isAuthorOfPublication.latestForDiscovery59f8a21f-9a50-481b-bb87-e30314a09ec3
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