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dc.contributor.authorGuirado Fernández, Fernando
dc.contributor.authorRipoll, A.
dc.contributor.authorRoig Mateu, Concepció
dc.contributor.authorHernàndez, A.
dc.contributor.authorLuque, Emilio
dc.date.accessioned2016-07-07T10:31:35Z
dc.date.issued2006
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10459.1/57380
dc.description.abstractThere is a large range of image processing applications that act on an input sequence of image frames that are continuously received. Throughput is a key performance measure to be optimized when executing them. In this paper we propose a new task replication methodology for optimizing throughput for an image processing application in the field of medicine. The results show that by applying the proposed methodology we are able to achieve the desired throughput in all cases, in such a way that the input frames can be processed at any given rate.ca_ES
dc.description.sponsorshipThis work was supported by the MEyC-Spain under contract TIN 2004-03388.ca_ES
dc.language.isoengca_ES
dc.publisherSpringer Verlagca_ES
dc.relationMIECI/PN2004-2007/TIN2004-03388ca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1007/11823285_115ca_ES
dc.relation.ispartofLecture Notes in Computer Science, 2006, vol. 4128, núm. 1095-1105ca_ES
dc.rights(c) Springer-Verlag Berlin Heidelberg, 2006ca_ES
dc.titleExploiting Throughput for Pipeline Execution in Streaming Image Processing Applicationsca_ES
dc.typearticleca_ES
dc.identifier.idgrec009848
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_ES
dc.identifier.doihttps://doi.org/10.1007/11823285_115
dc.date.embargoEndDate2025-01-01


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