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NARS: Network Bandwidth Adaptive Scalable Real-Time Streaming for Smart Ubiquitous Middleware

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dc.contributor.authorAhn, Sung-Won-
dc.contributor.authorJung, Hae-Sun-
dc.contributor.authorYoo, Chuck-
dc.contributor.authorLee, Yong-Woo-
dc.date.accessioned2021-09-06T03:53:07Z-
dc.date.available2021-09-06T03:53:07Z-
dc.date.created2021-06-14-
dc.date.issued2013-03-
dc.identifier.issn1607-9264-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/103831-
dc.description.abstractIn ubiquitous environments, the exchange of different types of real-time video data can be extremely useful under various circumstances, particularly during disasters. For instance, in the wake of a catastrophe, it would be extremely important to assure real-time transmission of video data of escape routes, nearby regions of safety, and the locations of survivors. To assure real-time transmission of video, it is necessary to ensure stable bandwidth streaming and to minimize data loss. In most cases, real-time streaming is more sensitive to delays between frames rather than to errors that affect the quality of one frame. One possible approach for ensuring low-delay, real-time streaming is to control the quantization parameter value according to network channel conditions. In this paper, we describe such an approach for a continuous real-time streaming system for smart ubiquitous middleware (SmartUM), called network bandwidth adaptive scalable real-time video streaming (NARS). NARS is an integrated video data management system for the ubiquitous-city environment. It ensures continuity of real-time video streaming as well as scalability of transmission by supporting various user devices. This system can be applied to various ubiquitous systems.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherLIBRARY & INFORMATION CENTER, NAT DONG HWA UNIV-
dc.subjectVIDEO-
dc.subjectQUANTIZATION-
dc.subjectINFRASTRUCTURE-
dc.subjectTRANSMISSION-
dc.subjectDELIVERY-
dc.titleNARS: Network Bandwidth Adaptive Scalable Real-Time Streaming for Smart Ubiquitous Middleware-
dc.typeArticle-
dc.contributor.affiliatedAuthorYoo, Chuck-
dc.identifier.doi10.6138/JIT.2013.14.2.05-
dc.identifier.scopusid2-s2.0-84883084654-
dc.identifier.wosid000317156900006-
dc.identifier.bibliographicCitationJOURNAL OF INTERNET TECHNOLOGY, v.14, no.2, pp.217 - 230-
dc.relation.isPartOfJOURNAL OF INTERNET TECHNOLOGY-
dc.citation.titleJOURNAL OF INTERNET TECHNOLOGY-
dc.citation.volume14-
dc.citation.number2-
dc.citation.startPage217-
dc.citation.endPage230-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusVIDEO-
dc.subject.keywordPlusQUANTIZATION-
dc.subject.keywordPlusINFRASTRUCTURE-
dc.subject.keywordPlusTRANSMISSION-
dc.subject.keywordPlusDELIVERY-
dc.subject.keywordAuthorNetwork channel condition-
dc.subject.keywordAuthorAdaptive quantization step-
dc.subject.keywordAuthorReal-Time streaming-
dc.subject.keywordAuthorSmart middleware-
dc.subject.keywordAuthorUbiquitous computing-
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