New objective QoE models for evaluating ABR algorithms in DASH
January 1, 2020·
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0 min read
Ismael de Fez
Román Belda
Juan Carlos Guerri Cebollada
Abstract
As users become more demanding regarding multimedia content consumption, measuring their satisfaction level is increasingly important. The difficulty of assessing Quality of Experience (QoE) has popularised objective QoE models that emulate human behaviour in multimedia playback. Some existing models are based on bitrate, but PSNR and VMAF have been proven to be closer to human perception. This paper proposes three new models to analytically measure QoE in DASH video services: one based on displayed segment bitrate and two based on per-segment video quality. The models are compared with ITU-T P.1203 and the Yin et al. bitrate model, and validated through a subjective study. The paper also presents the Look Ahead ABR algorithm, which exploits variable bitrate encoding to calculate appropriate quality levels that minimize stalls during playback.
Type
Publication
Computer Communications
Authors
Master’s Programme Director at Valencian International University (VIU)
Ismael de Fez was born in Valencia, Spain in 1983. He received his Telecommunications Engineering degree in 2007 and his M.S. in Telematics in 2010 from the Universitat Politècnica de València (UPV), where his M.Sc. thesis was awarded by the Telefónica chair of UPV. He obtained his PhD in Telecommunications from UPV in 2014 and an MBA from UPV in 2017. He worked as an R&D Engineer at the Institute of Telecommunications and Multimedia Applications (iTEAM, UPV) from 2008 to 2021. Since 2021 he has been Director of the Master’s in Development of Web Applications and Services at the Valencian International University (VIU). His research interests include multimedia transmission, DASH adaptive streaming, QoE modelling, AL-FEC coding for unidirectional wireless environments, and file encoding.
Authors
Associate Professor at Universitat Politècnica de València
Román Belda received his degree in Computer Science in 2004 and an M.S. in Telematics in 2013 from the Universitat Politècnica de València (UPV), Spain. He obtained his Ph.D. in Telecommunications from UPV in 2021. He is currently an Associate Professor at the Universitat Politècnica de València and a member of the Institute of Telecommunications and Multimedia Applications (iTEAM). His research interests include mobile applications and multimedia transmission protocols.
Authors
Full Professor at Universitat Politècnica de València
Juan Carlos Guerri Cebollada was born in Valencia, Spain in 1969. He received his M.S. and Ph.D. degrees in Telecommunication Engineering from the Universitat Politècnica de València (UPV) in 1993 and 1997, respectively. He is a Full Professor in the Department of Communications Engineering at UPV, where he teaches at the ETSI Telecomunicación. He leads the Multimedia Communications research group (COMM) of the iTEAM (Institute of Telecommunications and Multimedia Applications). His research spans multimedia communications, adaptive video streaming (DASH), quality of experience, wireless and ad hoc networks, and the application of multimedia technologies to industry, medicine, education and communications.