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dc.contributor.authorWagner, Florian T.
dc.contributor.authorDöllner, Jürgen
dc.contributor.authorTrapp, Matthias
dc.contributor.editorSkala, Václav
dc.date.accessioned2020-07-24T07:42:39Z-
dc.date.available2020-07-24T07:42:39Z-
dc.date.issued2020
dc.identifier.citationJournal of WSCG. 2020, vol. 28, no. 1-2, p. 122-131.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/38433
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectzpracování prouducs
dc.subjectvideo s vysokým rozlišenímcs
dc.subjectreálný čascs
dc.titleReal-time Service-based Stream-processing of High-resolution Videosen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper reports on a service-based approach to enable real-time stream-processing of high-resolution videos. It presents a concept for integrating black-box image and video processing operations into a streaming framework. It further describes approaches to optimize data flow between the processing implementation and the framework to increase throughput and decrease latency. This enables the composition of streaming services to allow scaling for further throughput increase. We demonstrate the effectiveness of our approach by means of two real-time streaming-processing application examples.en
dc.subject.translatedstream processingen
dc.subject.translatedhigh-resolution videoen
dc.subject.translatedreal-timeen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2020.28.15
dc.type.statusPeer-revieweden
Appears in Collections:Volume 28, Number 1-2 (2020)

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