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dc.contributor.authorMallikarachchi, Thanuja
dc.contributor.authorTalagala, Dumidu
dc.contributor.authorKodikara Arachchi, Hemantha
dc.contributor.authorHewage, Chaminda
dc.contributor.authorFernando, Anil
dc.date.accessioned2020-07-16T16:15:45Z
dc.date.available2020-07-16T16:15:45Z
dc.date.issued2020-07-16
dc.identifier.citationMallikarachchi, T., Talagala, D., Kodikara Arachchi, H., Hewage, C. and Fernand, A. (2020) 'A Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVC', Future Internet 2020, 12(7), 120.en_US
dc.identifier.issn1999-5903
dc.identifier.urihttp://hdl.handle.net/10369/11110
dc.descriptionArticle published in Future Internet on 16 July 2020, available open access at: https://doi.org/10.3390/fi12070120.en_US
dc.description.abstractVideo playback on mobile consumer electronic (CE) devices is plagued by fluctuations in the network bandwidth and by limitations in processing and energy availability at the individual devices. Seen as a potential solution, the state-of-the-art adaptive streaming mechanisms address the first aspect, yet the efficient control of the decoding-complexity and the energy use when decoding the video remain unaddressed. The quality of experience (QoE) of the end-users’ experiences, however, depends on the capability to adapt the bit streams to both these constraints (i.e., network bandwidth and device’s energy availability). As a solution, this paper proposes an encoding framework that is capable of generating video bit streams with arbitrary bit rates and decoding-complexity levels using a decoding-complexity–rate–distortion model. The proposed algorithm allocates rate and decoding-complexity levels across frames and coding tree units (CTUs) and adaptively derives the CTU-level coding parameters to achieve their imposed targets with minimal distortion. The experimental results reveal that the proposed algorithm can achieve the target bit rate and the decoding-complexity with 0.4% and 1.78% average errors, respectively, for multiple bit rate and decoding-complexity levels. The proposed algorithm also demonstrates a stable frame-wise rate and decoding-complexity control capability when achieving a decoding-complexity reduction of 10.11 (%/dB). The resultant decoding-complexity reduction translates into an overall energy-consumption reduction of up to 10.52 (%/dB) for a 1 dB peak signal-to-noise ratio (PSNR) quality loss compared to the HM 16.0 encoded bit streams.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofseriesFuture Internet;
dc.titleA Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVCen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3390/fi12070120
dcterms.dateAccepted2020-07-13
rioxxterms.funderCardiff Metropolitan Universityen_US
rioxxterms.identifier.projectCardiff Metropolian (Internal)en_US
rioxxterms.versionVoRen_US
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en_US
rioxxterms.licenseref.startdate2020-07-16
dc.date.refFCD2020-07-16
rioxxterms.funder.project37baf166-7129-4cd4-b6a1-507454d1372een_US


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