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dc.contributor.authorSinangil, Mahmut E.
dc.contributor.authorChandrakasan, Anantha P.
dc.contributor.authorSze, Vivienne
dc.contributor.authorZhou, Minhua
dc.contributor.authorSinangil, Mahmut
dc.date.accessioned2015-03-05T19:37:27Z
dc.date.available2015-03-05T19:37:27Z
dc.date.issued2012-09
dc.identifier.isbn978-1-4673-2533-2
dc.identifier.isbn978-1-4673-2534-9
dc.identifier.isbn978-1-4673-2532-5
dc.identifier.issn1522-4880
dc.identifier.urihttp://hdl.handle.net/1721.1/95887
dc.description.abstractThis paper presents a comparison between various High Efficiency Video Coding (HEVC) motion estimation configurations in terms of coding efficiency and memory cost in hardware. An HEVC motion estimation hardware model that is suitable to implement HEVC reference software (HM) search algorithm is created and memory area and data bandwidth requirements are calculated based on this model. 11 different motion estimation configurations are considered. Supporting smaller block sizes is shown to impose significant memory cost in hardware although the coding gain achieved through supporting them is relatively smaller. Hence, depending on target encoder specifications, the decision can be made not to support certain block sizes. Specifically, supporting only 64x64, 32x32 and 16x16 block sizes provide 3.2X on-chip memory area, 26X on-chip bandwidth and 12.5X off-chip bandwidth savings at the expense of 12% bit-rate increase when compared to the anchor configuration supporting all block sizes.en_US
dc.description.sponsorshipTexas Instruments Incorporateden_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICIP.2012.6467164en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceChandrakasanen_US
dc.titleMemory cost vs. coding efficiency trade-offs for HEVC motion estimation engineen_US
dc.typeArticleen_US
dc.identifier.citationSinangil, Mahmut E., Anantha P. Chandrakasan, Vivienne Sze, and Minhua Zhou. “Memory Cost Vs. Coding Efficiency Trade-Offs for HEVC Motion Estimation Engine.” 2012 19th IEEE International Conference on Image Processing (September 2012).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverChandrakasan, Anantha P.en_US
dc.contributor.mitauthorSinangil, Mahmuten_US
dc.contributor.mitauthorChandrakasan, Anantha P.en_US
dc.contributor.mitauthorSze, Vivienneen_US
dc.relation.journalProceedings of the 2012 19th IEEE International Conference on Image Processing (ICIP)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsSinangil, Mahmut E.; Chandrakasan, Anantha P.; Sze, Vivienne; Zhou, Minhuaen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5977-2748
dc.identifier.orcidhttps://orcid.org/0000-0003-4841-3990
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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