Εμφάνιση απλής εγγραφής

dc.creatorKoziri M., Papadopoulos P.K., Tziritas N., Giachoudis N., Loukopoulos T., Khan S.U., Stamoulis G.I.en
dc.date.accessioned2023-01-31T08:46:53Z
dc.date.available2023-01-31T08:46:53Z
dc.date.issued2017
dc.identifier10.23919/EUSIPCO.2017.8081462
dc.identifier.isbn9780992862671
dc.identifier.urihttp://hdl.handle.net/11615/75489
dc.description.abstractHEVC has emerged as the new video coding standard promising increased compression ratios compared to its predecessors. This performance improvement comes at a high computational cost. For this reason, HEVC offers three coarse grained parallelization potentials namely, wave front, slices and tiles. In this paper we focus on tile parallelism which is a relatively new concept with its effects not yet fully explored. Particularly, we investigate the problem of partitioning a frame into tiles so that in a resulting one on one tile-CPU core assignment the cores are load balanced, thus, maximum speedup can be achieved. We propose various heuristics for the problem with a focus on low delay coding and evaluate them against state of the art approaches. Results demonstrate that particular heuristic combinations clearly outperform their counterparts in the literature. © EURASIP 2017.en
dc.language.isoenen
dc.source25th European Signal Processing Conference, EUSIPCO 2017en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85038932906&doi=10.23919%2fEUSIPCO.2017.8081462&partnerID=40&md5=e302a05e2c6e72d1b5e79206f4478822
dc.subjectCodes (symbols)en
dc.subjectImage codingen
dc.subjectSignal processingen
dc.subjectTileen
dc.subjectWavefrontsen
dc.subjectComputational costsen
dc.subjectHEVCen
dc.subjectLow-delay codingen
dc.subjectParallelismen
dc.subjectParallelization potentialen
dc.subjectPartitioningen
dc.subjectState-of-the-art approachen
dc.subjectVideo coding standarden
dc.subjectVideo signal processingen
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleHeuristics for tile parallelism in HEVCen
dc.typeconferenceItemen


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