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dc.contributor.authorMallikarachchi, Thanuja
dc.contributor.authorFernando, Anil
dc.contributor.authorKodikara Arachchi, Hemantha
dc.date.accessioned2019-03-12T10:49:23Z
dc.date.available2019-03-12T10:49:23Z
dc.date.issued2014-07-14
dc.identifier.citationMallikarachchi, T., Fernando, A. and Arachchi, H.K. (2014) 'Efficient coding unit size selection based on texture analysis for HEVC intra prediction', IEEE International Conference on Multimedia and Expo (ICME), Chengdu, China, pp. 1-6. DOI: 10.1109/ICME.2014.6890319.en_US
dc.identifier.urihttp://hdl.handle.net/10369/10356
dc.descriptionConference paper published in 2014 IEEE International Conference on Multimedia and Expo (ICME), available at: https://doi.org/10.1109/ICME.2014.6890319.en_US
dc.description.abstractDetermining the best partitioning structure for a given Coding Tree Unit (CTU) is one of the most time consuming operations within the HEVC encoder. The brute force search through quadtree hierarchy has a significant impact on the encoding time of high definition (HD) videos. This paper presents a fast coding unit size decision-taking algorithm for intra prediction in HEVC. The proposed algorithm utilizes a low complex texture analysis technique based on the local range property of a pixel in a given neighborhood. Simulation results show that the proposed algorithm achieves an average of 72.24% encoding time efficiency improvement with similar rate distortion performance compared to HEVC reference software HM12.0 for HD videos.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseries2014 IEEE International Conference on Multimedia and Expo (ICME);
dc.titleEfficient Coding Unit Size Selection Based on Texture Analysis for HEVC Intra Predictionen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.1109/ICME.2014.6890319
dcterms.dateAccepted2014
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2019-03-12


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