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dc.contributor.authorMeier, Benjamin-Heinz
dc.contributor.authorTrapp, Matthias
dc.contributor.authorDöllner, Jürgen
dc.contributor.editorSkala, Václav
dc.date.accessioned2018-05-17T07:57:44Z-
dc.date.available2018-05-17T07:57:44Z-
dc.date.issued2015
dc.identifier.citationWSCG '2015: short communications proceedings: The 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2015 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic8-12 June 2015, p. 117-124.en
dc.identifier.isbn978-80-86943-66-4
dc.identifier.issn2464-4617
dc.identifier.uriwscg.zcu.cz/WSCG2015/CSRN-2502.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29673
dc.description.abstractThis paper presents VideoMR: a novel map and reduce framework for real-time video processing on graphic processing units (GPUs). Using the advantages of implicit parallelism and bounded memory allocation, our approach enables developers to focus on implementing video operations without taking care of GPU memory handling or the details of code parallelization. Therefore, a new concept for map and reduce is introduced, redefining both operations to fit to the specific requirements of video processing. A prototypic implementation using OpenGL facilitates various operating platforms, including mobile development, and will be widely interoperable with other state-of-the-art video processing frameworks.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2015: short communications proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectmapovánícs
dc.subjectredukcecs
dc.subjectzpracování videacs
dc.subjectreálný čascs
dc.subjectohraničená paměťcs
dc.titleVideoMR: a map and reduce framework for real-time video processingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedmappingen
dc.subject.translatedreductionen
dc.subject.translatedvideo processingen
dc.subject.translatedreal-timeen
dc.subject.translatedbounded memoryen
dc.type.statusPeer-revieweden
Appears in Collections:WSCG '2015: Short Papers Proceedings

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