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

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dc.contributor.author Jiménez Moreno, Amaya
dc.contributor.author Martínez Enríquez, Eduardo
dc.contributor.author Díaz de María, Fernando
dc.date.accessioned 2020-09-18T11:37:53Z
dc.date.available 2020-09-18T11:37:53Z
dc.date.issued 2017-08-01
dc.identifier.bibliographicCitation Signal Processing: Image Communication, (2017), v. 56, pp.: 1-11.
dc.identifier.issn 0923-5965
dc.identifier.uri http://hdl.handle.net/10016/30833
dc.description.abstract The 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).
dc.description.sponsorship This work has been partially supported by the National Grant TEC2014-53390-P of the Spanish Ministry of Economy and Competitiveness.
dc.format.extent 11
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2017 Elsevier B.V. All rights reserved.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Bayesian statistics
dc.subject.other Complexity reduction
dc.subject.other Fast coding unit decision
dc.subject.other High efficiency video coding
dc.subject.other Hypothesis test
dc.subject.other On the fly estimation
dc.title Bayesian adaptive algorithm for fast coding unit decision in the High Efficiency Video Coding (HEVC) standard
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1016/j.image.2017.04.004
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2014-53390-P
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 11
dc.identifier.publicationtitle Signal Processing: Image Communication
dc.identifier.publicationvolume 56
dc.identifier.uxxi AR/0000020261
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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