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dc.contributor.authorSkirelis, Julius
dc.contributor.authorSerackis, Artūras
dc.date.accessioned2023-09-18T16:33:29Z
dc.date.available2023-09-18T16:33:29Z
dc.date.issued2015
dc.identifier.other(BIS)VGT02-000031421
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/114874
dc.description.abstractThe aim of the investigation presented in this paper was to design a video stream performance predictor, which could be used for adaptive video streaming applications. The neural networks based predictors were analyzed in this paper. An experimental investigation was performed in order to test the once trained predictors on a real WebRTC statistical data, recorded in dynamically changing mobile data throughput conditions.eng
dc.formatPDF
dc.format.extentp. 1-4
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbyIEEE Xplore
dc.source.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7367314&punumber%3D7361819%26filter%3DAND%28p_IS_Number%3A7367271%29%26pageNumber%3D2
dc.subjectIK04 - Skaitmeninės signalų apdorojimo technologijos / Digital signal processing technologies
dc.titlePrediction of the real-time video streaming performance based on the peer connection statistics
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references13
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enWebRTC
dc.subject.enLTE mobile communication
dc.subject.enVideo streaming
dc.subject.enLinear prediction
dc.subject.enNon-linear prediction
dcterms.sourcetitleAIEEE 2015. Advances in Information, Electronic and Electrical Engineering (AIEEE) : proceedings of the 2015 IEEE 3rd workshop, November 13–14, 2015 Riga, Latvia
dc.publisher.nameIEEE
dc.publisher.cityNew York
dc.identifier.doi000380433700035
dc.identifier.doi10.1109/AIEEE.2015.7367314
dc.identifier.elaba15331745


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