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Complexity Analysis of HEVC Decoding for Multi-core Platforms

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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorCordeiro, Paulo J.
dc.contributor.authorAssunção, Pedro
dc.contributor.authorGómez-Pulido, Juan A.
dc.date.accessioned2025-11-14T14:12:54Z
dc.date.available2025-11-14T14:12:54Z
dc.date.issued2015-12
dc.description15th International Conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015, Revised Selected Papers
dc.descriptionPart of the book series: Lecture Notes in Computer Science (LNTCS,volume 9520) (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.abstractThe High Efficiency Video Coding (HEVC) is the latest standard, providing the same quality as its predecessor H.264/AVC at about half of the bit-rate. An increasing demand for higher quality and better resolutions in mobile applications require the use of more efficient video codecs, but the high computational complexity of HEVC poses problems to resource-constrained devices and portable equipment with limited batery-life. Despite the fact that video coding complexity is much higher than decoding, in most user devices, video decoding is used more often than encoding, thus particular attention must also be given to HEVC decoders. This paper presents an experimental study and complexity analysis of the HEVC decoder’s behaviour when decoding 4k ultra high definition (UHD) and HD video sequences on multi-core platforms, such as those of the most recent mobile devices. It is shown that when tile partitioning is used, different tiles have different decoding complexities. These findings are relevant for devising dynamic tile partitioning schemes capable of achieving load balancing in video decoders running on multi-core platforms.eng
dc.description.sponsorship
dc.identifier.citationCordeiro, P.J., Assuncao, P., Gómez-Pulido, J.A. (2015). Complexity Analysis of HEVC Decoding for Multi-core Platforms. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_63
dc.identifier.doi10.1007/978-3-319-27340-2_63
dc.identifier.isbn9783319273396
dc.identifier.isbn9783319273402
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10400.8/14623
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-319-27340-2_63
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofComputer Aided Systems Theory – EUROCAST 2015
dc.rights.uriN/A
dc.subjectHEVC complexity
dc.subjectVideo complexitymap
dc.subjectVideo decoding
dc.titleComplexity Analysis of HEVC Decoding for Multi-core Platformseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage509
oaire.citation.startPage502
oaire.citation.titleComputer Aided Systems Theory – EUROCAST 2015
oaire.citation.volume9520
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAssunção
person.givenNamePedro
person.identifier.ciencia-id6811-3984-C17B
person.identifier.orcid0000-0001-9539-8311
person.identifier.ridA-4827-2017
person.identifier.scopus-author-id6701838347
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication.latestForDiscovery25649bb9-f135-48e8-8d0f-3706b86701d3

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Table of contents, book: Computer Aided Systems Theory – EUROCAST 2015 - Chapter: "Complexity Analysis of HEVC Decoding for Multi-core Platforms", pp. 502–509
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