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dc.contributor.authorMinopoulos, Georgios-
dc.contributor.authorMemos, Vasileios A.-
dc.contributor.authorPsannis, Kostas E.-
dc.contributor.authorIshibashi, Yutaka-
dc.date.accessioned2020-11-03T07:01:39Z-
dc.date.available2020-11-03T07:01:39Z-
dc.date.issued2020-07-22-
dc.identifier10.1109/ICCCI49374.2020.9145973en_US
dc.identifier.urihttps://doi.org/10.1109/ICCCI49374.2020.9145973en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/821-
dc.description.abstractNowadays, the need for more efficient video compression algorithms is growing, due to the increasing consumption of video content in higher resolutions. Thus, it is obvious that video compression technologies play a key role in the distribution of video content in broadcasting. In this paper, the video compression comparisons take into account the encoding or decoding time which is needed for each compression standard, in order to provide evidence about their adaptation under real-time streaming conditions. The video test sequences used in our experiments were retrieved from miscellaneous sources and their common characteristic is that they have High or Ultra High Definition resolution. Video codecs' performance was tested by using commercial coding libraries and reference software of the coding standards.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectFRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineeringen_US
dc.subjectFRASCATI::Engineering and technology::Other engineering and technologiesen_US
dc.subject.otherdecodingen_US
dc.subject.otherencodingen_US
dc.subject.othermobile networksen_US
dc.subject.othervideo codecsen_US
dc.titleComparison of Video Codecs Performance for Real-Time Transmissionen_US
dc.typeConference Paperen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.firstpage110en_US
local.identifier.lastpage114en_US
local.identifier.volumetitle2nd International Conference on Computer Communication and the Internet (ICCCI)en_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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