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New objective QoE models for evaluating ABR algorithms in DASH

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New objective QoE models for evaluating ABR algorithms in DASH

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De Fez Lava, I.; Belda Ortega, R.; Guerri Cebollada, JC. (2020). New objective QoE models for evaluating ABR algorithms in DASH. Computer Communications. 158:126-140. https://doi.org/10.1016/j.comcom.2020.05.011

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/166269

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Title: New objective QoE models for evaluating ABR algorithms in DASH
Author: De Fez Lava, Ismael Belda Ortega, Román Guerri Cebollada, Juan Carlos
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Issued date:
Embargo end date: 2022-05-11
Abstract:
[EN] As users become more demanding with regards to the consumption of multimedia content, the importance of measuring their level of satisfaction is growing. The difficulty in terms of time and resources for assessing the ...[+]
Subjects: Quality of Experience (QoE) , Dynamic Adaptive Streaming over HTTP (DASH) , Peak Signal-to-Noise Ratio (PSNR) , Video Multimethod Assessment Fusion (VMAF) , Adaptive Bitrate Streaming (ABR) , ITU-T P.1203
Copyrigths: Embargado
Source:
Computer Communications. (issn: 0140-3664 )
DOI: 10.1016/j.comcom.2020.05.011
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.comcom.2020.05.011
Project ID:
UPV/PAID-10-18
Thanks:
This work is supported by the PAID-10-18 Program and by the R&D Line "Technologies for distribution and processing of multimedia information and QoE'' from the Universitat Politecnica de Valencia.
Type: Artículo

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