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DC poleHodnotaJazyk
dc.contributor.authorFregien, Florian
dc.contributor.authorPasewaldt, Sebastian
dc.contributor.authorDöllner, Jürgen
dc.contributor.authorTrapp, Matthias
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-09-01T07:00:17Z
dc.date.available2021-09-01T07:00:17Z
dc.date.issued2021
dc.identifier.citationWSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 263-272.en
dc.identifier.isbn978-80-86943-34-3
dc.identifier.issn2464-4617
dc.identifier.issn2464–4625(CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/45032
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectgigapixelové obrázkycs
dc.subjectzpracování obrazucs
dc.subjectwebové technologiecs
dc.subjectzpracování založené na službáchcs
dc.titleService-based Processing of Gigapixel Imagesen
dc.typeconferenceObjecten
dc.typekonferenční příspěvekcs
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWith the ongoing improvement of digital cameras and smartphones, more and more people can acquire high-resolution digital images. Due to their size and high performance requirements, such Gigapixel Images (GPIs) areoften challenging to process and explore compared to conventional low resolution images. To address this problem,this paper presents a service-based approach for GPI processing in a device-independent way using cloud-basedprocessing. For it, the concept, design, and implementation of GPI processing functionality into service-basedarchitectures is presented and evaluated with respect to advantages, limitations, and runtime performance.en
dc.subject.translatedgigapixel imagesen
dc.subject.translatedimage processingen
dc.subject.translatedweb technologiesen
dc.subject.translatedservice-based processingen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2021.3101.29
dc.type.statusPeer-revieweden
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