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An automated model for the assessment of QoE of adaptive video streaming over wireless networks

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An automated model for the assessment of QoE of adaptive video streaming over wireless networks

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dc.contributor.author Taha, Miran es_ES
dc.contributor.author Ali, Aree es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.contributor.author Gondim, Paulo R. L. es_ES
dc.contributor.author Canovas, Alejandro es_ES
dc.date.accessioned 2023-09-21T18:04:44Z
dc.date.available 2023-09-21T18:04:44Z
dc.date.issued 2021-07 es_ES
dc.identifier.issn 1380-7501 es_ES
dc.identifier.uri http://hdl.handle.net/10251/196897
dc.description.abstract [EN] Nowadays, heterogeneous devices are widely utilizing Hypertext Transfer Protocol (HTTP) to transfer the data. Furthermore, HTTP adaptive video streaming (HAS) technology transmits the video data over wired and wireless networks. In adaptive technology services, a client's application receives a streaming video through the adaptation of its quality to the network condition. However, such a technology has increased the demand for Quality of Experience (QoE) in terms of prediction and assessment. It can also cause a challenging behavior regarding subjective and objective QoE evaluations of HTTP adaptive video over time since each Quality of Service (QoS) parameter affects the QoE of end-users separately. This paper introduces a methodology design for the evaluation of subjective QoE in adaptive video streaming over wireless networks. Besides, some parameters are considered such as video characteristics, segment length, initial delay, switch strategy, stalls, as well as QoS parameters. The experiment's evaluation demonstrated that objective metrics can be mapped to the most significant subjective parameters for user's experience. The automated model could function to demonstrate the importance of correlation for network behaviors' parameters. Consequently, it directly influences the satisfaction of the end-user's perceptual quality. In comparison with other recent related works, the model provided a positive Pearson Correlation value. Simulated results give a better performance between objective Structural Similarity (SSIM) and subjective Mean Opinion Score (MOS) evaluation metrics for all video test samples. es_ES
dc.description.sponsorship This work has been partially supported by the "Ministerio de Economia y Competitividad" in the "Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia, Subprograma Estatal de Generacion de Conocimiento" within the Project under Grant TIN2017-84802-C2-1-P. This study has been partially done in the computer science departments at the (University of Sulaimani and Halabja). es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Multimedia Tools and Applications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject HTTP adaptive streaming es_ES
dc.subject Correlation coefficient es_ES
dc.subject QoE es_ES
dc.subject QoS es_ES
dc.subject Subjective methodology es_ES
dc.subject.classification INGENIERÍA TELEMÁTICA es_ES
dc.title An automated model for the assessment of QoE of adaptive video streaming over wireless networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11042-021-10934-9 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84802-C2-1-P/ES/RED COGNITIVA DEFINIDA POR SOFTWARE PARA OPTIMIZAR Y SECURIZAR TRAFICO DE INTERNET DE LAS COSAS CON INFORMACION CRITICA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.description.bibliographicCitation Taha, M.; Ali, A.; Lloret, J.; Gondim, PRL.; Canovas, A. (2021). An automated model for the assessment of QoE of adaptive video streaming over wireless networks. Multimedia Tools and Applications. 80(17):26833-26854. https://doi.org/10.1007/s11042-021-10934-9 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11042-021-10934-9 es_ES
dc.description.upvformatpinicio 26833 es_ES
dc.description.upvformatpfin 26854 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 80 es_ES
dc.description.issue 17 es_ES
dc.relation.pasarela S\473268 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
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