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dc.contributor.authorRodríguez Sánchez, Rafael
dc.contributor.authorMartínez, José Luis
dc.contributor.authorFernández Escribano, Gerardo
dc.contributor.authorSánchez, José L.
dc.contributor.authorClaver, José M.
dc.date.accessioned2014-05-19T18:40:52Z
dc.date.available2014-05-19T18:40:52Z
dc.date.issued2013
dc.identifier.issn1380-7501
dc.identifier.issn1573-7721
dc.identifier.urihttp://hdl.handle.net/10234/92611
dc.description.abstractThe AVC video coding standard adopts variable block sizes for inter frame coding to increase compression efficiency, among other new features. As a consequence of this, an AVC encoder has to employ a complex mode decision technique that requires high computational complexity. Several techniques aimed at accelerating the inter prediction process have been proposed in the literature in recent years. Recently, with the emergence of many-core processors or accelerators, a new way of supporting inter frame prediction has presented itself. In this paper, we present a step forward in the implementation of an AVC inter prediction algorithm in a graphics processing unit, using Compute Unified Device Architecture. The results show a negligible drop in rate distortion with a time reduction, on average, of over 98.8 % compared with full search and fast full search, and of over 80 % compared with UMHexagonS search.ca_CA
dc.format.extent21 p.ca_CA
dc.language.isoengca_CA
dc.publisherSpringerca_CA
dc.relation.isPartOfMultimedia Tools and Applications, October 2013, Volume 66, Issue 3ca_CA
dc.rights© Springer Science+Business Media, LLC 2012. "The final publication is available at link.springer.com"ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectAVCca_CA
dc.subjectMotion estimationca_CA
dc.subjectInter predictionca_CA
dc.subjectHeterogeneous computingca_CA
dc.titleH.264/AVC inter prediction on accelerator-based multi-core systemsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1007/s11042-012-1056-6
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://download.springer.com/static/pdf/582/art%253A10.1007%252Fs11042-012-1056-6.pdf?auth66=1400696786_7d533fa24c7ac35f2a96c9ee38674985&ext=.pdfca_CA


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