Time-efficient evaluation of adaptation algorithms for DASH with SVC: dataset, throughput generation and stream simulator

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dc.authoridOzbek, Nukhet/0000-0001-6481-7587
dc.authoridCali, Mehmet/0000-0001-8973-0998
dc.authorscopusid57214898945
dc.authorscopusid7006917366
dc.contributor.authorCali, Mehmet
dc.contributor.authorOzbek, Nukhet
dc.date.accessioned2023-01-12T19:51:11Z
dc.date.available2023-01-12T19:51:11Z
dc.date.issued2021
dc.departmentN/A/Departmenten_US
dc.description.abstractBitrate adaptation algorithms have received considerable attention recently. In order to evaluate these algorithms objectively, multiple DASH datasets have been proposed. However, only few of them are compatible to SVC-based adaptation algorithms. Apart from the dataset, to fully implement and evaluate an adaptation algorithm, many time-consuming steps are required such as MPD parser design, adaptation logic design and network environment setup. In this paper, a dash simulator which assesses the performance of SVC-based adaptation algorithms without the requirement of any additional implementation steps is proposed. Also, an SVC dataset that includes both CBR and VBR encoded videos is designed. Demonstration is performed as evaluation of an SVC-based adaptation algorithm under several throughput scenarios using the designed dataset. Results show that the proposed system considerably reduces time requirement compared to real-time assessment. Dataset, throughput generation tool and simulator are all publicly available so that the researchers can test their implementation and compare with the results presented in this paper.en_US
dc.identifier.doi10.1007/s11760-021-01880-y
dc.identifier.endpage1485en_US
dc.identifier.issn1863-1703
dc.identifier.issn1863-1711
dc.identifier.issn1863-1703en_US
dc.identifier.issn1863-1711en_US
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-85105463845en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1477en_US
dc.identifier.urihttps://doi.org/10.1007/s11760-021-01880-y
dc.identifier.urihttps://hdl.handle.net/11454/76233
dc.identifier.volume15en_US
dc.identifier.wosWOS:000645502500003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofSignal Image And Video Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDynamic adaptive streaming over HTTP (DASH)en_US
dc.subjectScalable video coding (SVC)en_US
dc.subjectStreaming simulationen_US
dc.subjectDASH dataseten_US
dc.subjectTcp Throughputen_US
dc.titleTime-efficient evaluation of adaptation algorithms for DASH with SVC: dataset, throughput generation and stream simulatoren_US
dc.typeArticleen_US

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