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dc.contributor.authorKOKARAM, ANIL CHRISTOPHER
dc.date.accessioned2010-02-05T16:41:03Z
dc.date.available2010-02-05T16:41:03Z
dc.date.createdJan 2004en
dc.date.issued2004
dc.date.submitted2004en
dc.identifier.citationF. Kelly and A. Kokaram `Graphics Hardware for Gradient Based Motion Estimation? in proceedings of IS&T/SPIE Electronic Imaging - Embedded Processors for Multimedia and Communications, San Jose, California USA, Jan 2004, 5309, pp 92 - 103en
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/37027
dc.descriptionPUBLISHEDen
dc.description.abstractMotion estimation and compensation is a key component in video procesing. Motion estimation is necessary for high quality compression. It is also a key component in archive video restoration and motion picture post-production. Very accurate motion vectors are usually required in the latter two applications. More accurate motion vectors can also lead to greater coding efficiency. Real-time, accurate motion estimation is currently not attainable on standard desktop PCs. It usually requires some kind of dedicated hardware such as on video coding chips. Gradient based motion estimation is one which gives good accuracy for reasonable computational cost. This paper uses the Wiener based motion estimator as a vehicle to explore the acceleration of gradient based motion estimation on the PCen
dc.description.sponsorshipEnterprise Irelanden
dc.format.extent92en
dc.format.extent103en
dc.format.extent310169 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSPIEen
dc.relation.ispartofseries5309en
dc.rightsYen
dc.subjectElectronic & Electrical Engineering
dc.titleGraphics Hardware for Gradient Based Motion Estimationen
dc.typeConference Paperen
dc.contributor.sponsorEnterprise Ireland
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/akokaram
dc.identifier.rssinternalid27090
dc.identifier.rssurihttp://www.sigmedia.tven


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