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dc.contributor.authorGarcía-Lucas, D.
dc.contributor.authorCebrián-Márquez, G.
dc.contributor.authorDíaz-Honrubia, A.J.
dc.contributor.authorMallikarachchi, Thanuja
dc.contributor.authorCuenca, P.
dc.date.accessioned2021-02-25T11:21:27Z
dc.date.available2021-02-25T11:21:27Z
dc.date.issued2021-02-12
dc.identifier.citationGarcía-Lucas, D., Cebrián-Márquez, G., Díaz-Honrubia, A.J., Mallikarachchi, T. and Cuenca, P. (2021) 'Cost-efficient HEVC-based quadtree splitting (HEQUS) for VVC Video Transcoding', Signal Processing: Image Communication, p.116199. https://doi.org/10.1016/j.image.2021.116199en_US
dc.identifier.issn0923-5965
dc.identifier.urihttp://hdl.handle.net/10369/11324
dc.descriptionArticle published in Signal Processing: Image Communication available at https://doi.org/10.1016/j.image.2021.116199en_US
dc.description.abstractThe release of the latest video coding standard, known as Versatile Video Coding (VVC), has created the need to convert current High Efficiency Video Coding (HEVC) content to this new standard. However, the traditional cascade transcoding pipeline is not effective due to the exorbitant computational complexity of VVC. With this in mind, this paper proposes a fast HEVC-VVC transcoder that implements a probabilistic classifier based on Naïve-Bayes at the first partitioning level (128 × 128 pixels). This model uses features extracted from the 128 × 128 size blocks of the residual and reconstructed frames in the HEVC bitstream, and their correlation with the block partitioning structure. For the subsequent VVC coding depth levels, partitioning decisions are derived from the HEVC structure. The results achieve a 57.08% transcoding time reduction with a BD-rate penalty of 2.40%, compared with a traditional transcoding approach for the random access encoding configuration.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesSignal Processing: Image Communication;
dc.subjectH.265en_US
dc.subjectMTTen_US
dc.titleCost-efficient HEVC-based quadtree splitting (HEQUS) for VVC Video Transcodingen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.image.2021.116199
dcterms.dateAccepted2021-02-04
rioxxterms.funderCardiff Metropolitan Universityen_US
rioxxterms.identifier.projectCardiff Metropolian (Internal)en_US
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_US
rioxxterms.licenseref.startdate2022-02-12
rioxxterms.freetoread.startdate2022-02-12
rioxxterms.funder.project37baf166-7129-4cd4-b6a1-507454d1372een_US


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