Adaptive Lagrange multiplier estimation algorithm in HEVC

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dc.contributor.author González de Suso Molinero, José Luis
dc.contributor.author Martínez Enríquez, Eduardo
dc.contributor.author Díaz de María, Fernando
dc.date.accessioned 2020-09-21T07:23:11Z
dc.date.available 2020-09-21T07:23:11Z
dc.date.issued 2017-08-01
dc.identifier.bibliographicCitation Signal Processing: Image Communication, 56 (2017), pp.: 40-51.
dc.identifier.issn 0923-5965
dc.identifier.uri http://hdl.handle.net/10016/30834
dc.description.abstract The latest High Efficiency Video Coding (HEVC) standard relies on a large number of coding tools from which the encoder should choose for every coding unit. This optimization process is based on the minimization of a Lagrangian cost function that evaluates the distortion produced and the bit-rate needed to encode each coding unit. The value of the Lagrangian parameter lambda, which balances the weight of the rate and distortion terms, is related to the quantization parameter through a model that has been implemented in the HEVC reference software. Nevertheless, in this paper we show that this model can be refined, especially for static background sequences, so that the coding performance of HEVC can be improved by adaptively modifying the relation between A. and the quantization parameter. Specifically, the proposed method (i) determines whether the background of a sequence is static or not by means of a simple classifier; and (ii) when static, it evaluates an exponential regression function to estimate a proper value of the lambda parameter. In so doing, the proposed method becomes content-aware, being able to dynamically act on the lambda parameter. Experiments conducted over a large set of static and dynamic background video sequences prove that the proposed method achieves an average bit-rate saving of -6.72% (-11.07% for static background video sequences) compared with the reference HM16.0 software, notably outperforming the results of a state-of-the-art method.
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 HEVC
dc.subject.other Motion estimation
dc.subject.other Rate-distortion optimization
dc.subject.other Source coding
dc.subject.other Video coding
dc.title Adaptive Lagrange multiplier estimation algorithm in HEVC
dc.type article
dc.description.status Publicado
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1016/j.image.2017.04.010
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2014-53390-P
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 40
dc.identifier.publicationlastpage 51
dc.identifier.publicationtitle Signal Processing: Image Communication
dc.identifier.publicationvolume 56
dc.identifier.uxxi AR/0000020263
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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