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Bayesian adaptive algorithm for fast coding unit decision in the High Efficiency Video Coding (HEVC) standard

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Procesado Multimediaes
dc.contributor.authorJiménez Moreno, Amaya
dc.contributor.authorMartínez Enríquez, Eduardo
dc.contributor.authorDíaz de María, Fernando
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2020-09-18T11:37:53Z
dc.date.available2020-09-18T11:37:53Z
dc.date.issued2017-08-01
dc.description.abstractThe latest High Efficiency Video Coding standard (HEVC) provides a set of new coding tools to achieve a significantly higher coding efficiency than previous standards. In this standard, the pixels are first grouped into Coding Units (CU), then Prediction Units (PU), and finally Transform Units (TU). All these coding levels are organized into a quadtree-shaped arrangement that allows highly flexible data representation; however, they involve a very high computational complexity. In this paper, we propose an effective early CU depth decision algorithm to reduce the encoder complexity. Our proposal is based on a hierarchical approach, in which a hypothesis test is designed to make a decision at every CU depth, where the algorithm either produces an early termination or decides to evaluate the subsequent depth level. Moreover, the proposed method is able to adaptively estimate the parameters that define each hypothesis test, so that it adapts its behavior to the variable contents of the video sequences. The proposed method has been extensively tested, and the experimental results show that our proposal outperforms several state-of-the-art methods, achieving a significant reduction of the computational complexity (36.5% and 38.2% average reductions in coding time for two different encoder configurations) in exchange for very slight losses in coding performance (1.7% and 0.8% average bit rate increments).en
dc.description.sponsorshipThis work has been partially supported by the National Grant TEC2014-53390-P of the Spanish Ministry of Economy and Competitiveness.en
dc.format.extent11
dc.identifier.bibliographicCitationSignal Processing: Image Communication, (2017), v. 56, pp.: 1-11.en
dc.identifier.doihttps://doi.org/10.1016/j.image.2017.04.004
dc.identifier.issn0923-5965
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage11
dc.identifier.publicationtitleSignal Processing: Image Communicationen
dc.identifier.publicationvolume56
dc.identifier.urihttps://hdl.handle.net/10016/30833
dc.identifier.uxxiAR/0000020261
dc.language.isoengen
dc.publisherElsevier
dc.relation.projectIDGobierno de España. TEC2014-53390-Pes
dc.rights© 2017 Elsevier B.V. All rights reserved.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherBayesian statisticsen
dc.subject.otherComplexity reductionen
dc.subject.otherFast coding unit decisionen
dc.subject.otherHigh efficiency video codingen
dc.subject.otherHypothesis testen
dc.subject.otherOn the fly estimationen
dc.titleBayesian adaptive algorithm for fast coding unit decision in the High Efficiency Video Coding (HEVC) standarden
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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