Syntax Element Partitioning for high-throughput HEVC CABAC decoding

dc.contributor.authorHabermann, Philipp
dc.contributor.authorChi, Chi Ching
dc.contributor.authorÁlvarez-Mesa, Mauricio
dc.contributor.authorJuurlink, Ben
dc.date.accessioned2018-06-07T15:31:40Z
dc.date.available2018-06-07T15:31:40Z
dc.date.issued2017
dc.description.abstractEncoder and decoder implementations of the High Efficiency Video Coding (HEVC) standard have been subject to many optimization approaches since the release in 2013. However, the real-time decoding of high quality and ultra high resolution videos is still a very challenging task. Especially entropy decoding (CABAC) is most often the throughput bottleneck for very high bitrates. Syntax Element Partitioning (SEP) has been proposed for the H.264/AVC video compression standard to address this issue and the limitations of other parallelization techniques. Unfortunately, it has not been adopted in the latest video coding standard, although it allows to multiply the throughput in CABAC decoding. We propose an improved SEP scheme for HEVC CABAC decoding with eight syntax element partitions. Experimental results show throughput improvements up to 5.4× with negligible bitstream overhead, making SEP a useful technique to address the entropy decoding bottleneck in future video compression standards.en
dc.identifier.eissn2379-190X
dc.identifier.isbn978-1-5090-4117-6
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7920
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-7081
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otherHEVCen
dc.subject.otherH.265en
dc.subject.otherCABACen
dc.subject.otherparallelizationen
dc.subject.otherdecodingen
dc.titleSyntax Element Partitioning for high-throughput HEVC CABAC decodingen
dc.typeConference Objecten
dc.type.versionacceptedVersionen
dcterms.bibliographicCitation.doi10.1109/ICASSP.2017.7952368en
dcterms.bibliographicCitation.originalpublishernameIEEEen
dcterms.bibliographicCitation.originalpublisherplacePiscataway, NJen
dcterms.bibliographicCitation.pageend1312en
dcterms.bibliographicCitation.pagestart1308en
dcterms.bibliographicCitation.proceedingstitle2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Technische Informatik und Mikroelektronik::FG Architektur eingebetteter Systemede
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Architektur eingebetteter Systemede
tub.affiliation.instituteInst. Technische Informatik und Mikroelektronikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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