Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorWegen, Ole
dc.contributor.authorTrapp, Matthias
dc.contributor.authorDöllner, Jürgen
dc.contributor.authorPasewaldt, Sebastian
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-22T10:58:48Z-
dc.date.available2019-10-22T10:58:48Z-
dc.date.issued2019
dc.identifier.citationWSCG 2019: full papers proceedings: 27. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 127-136.en
dc.identifier.isbn978-80-86943-37-4 (CD/-ROM)
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464-4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/35617
dc.format10 s.cs
dc.format.mimetypeapplication/odt
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectcloud-renderingcs
dc.subjectzpracování obrazucs
dc.subjectvykreslování softwarucs
dc.subjectsrovnání výkonucs
dc.titlePerformance Evaluation and Comparison of Service-based Image Processing based on Software Renderingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper presents an approach and performance evaluation of performing service-based image processing using software rendering implemented using Mesa3D. Due to recent advances in cloud computing technology (w.r.t. both, hardware and software) as well as increased demands of image processing and analysis techniques, often within an eco-system of devices, it is feasible to research and quantify the impact of service-based approaches in this domain w.r.t. cost-performance relation. For it, we provide a performance comparison for service-based processing using GPU-accelerated and software rendering.en
dc.subject.translatedcloud-renderingen
dc.subject.translatedimage processingen
dc.subject.translatedsoftware renderingen
dc.subject.translatedperformance comparisonen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2019.2901.1.15
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2019: Full Papers Proceedings

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
Wegen.pdfPlný text2,25 MBAdobe PDFZobrazit/otevřít


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/35617

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.