Real-time 3D video processing using multi-stream GPU parallel computing

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dc.contributor.authorPicos, Kenia
dc.contributor.authorDíaz Ramírez, Víctor H.
dc.contributor.authorTapia, Juan J.
dc.date.accessioned2020-02-25T19:14:18Z
dc.date.available2020-02-25T19:14:18Z
dc.date.created2014-03-28
dc.date.issued2014-10
dc.description.abstractThis work presents a real-time video processing algorithm for 3D scenes using a graphics processor. The processing is based on parallel computing using concurrent kernels. The proposed algorithm processes individual pixels of each pair of input stereo images to obtain an anaglyph image for each frame. To reduce the computational time, a concurrent kernel implementation using POSIX threads and CUDA streams is utilized. Also, an asynchronous streams execution is used to increase overlapping of the video processing implementation. The obtained results are presented and discussed in terms of speedup and execution time.es_ES
dc.description.sponsorshipResearch in computing sciencees_ES
dc.description.urlhttps://rcs.cic.ipn.mx/2014_80/Real-time%203D%20Video%20Processing%20Using%20Multi-stream%20GPU%20Parallel%20Computing.pdfes_ES
dc.format.page87-95es_ES
dc.identifier.indexacionDBLPes_ES
dc.identifier.issn1870-4069
dc.identifier.urihttps://repositorio.cetys.mx/handle/60000/417
dc.language.isoenes_ES
dc.relation.ispartofseries80;
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/*
dc.subjectGraphics processing unitses_ES
dc.subjectParallel computinges_ES
dc.subjectCUDA streamses_ES
dc.subjectImage and video processinges_ES
dc.subject.sedeSistemases_ES
dc.titleReal-time 3D video processing using multi-stream GPU parallel computinges_ES
dc.title.alternativeResearch in computing sciencees_ES
dc.typeArticlees_ES

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