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Volume: 31 | Article ID: art00020
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Subjective Analysis of an End-to-end Streaming System
  DOI :  10.2352/ISSN.2470-1173.2019.10.IQSP-321  Published OnlineJanuary 2019
Abstract

Measuring Quality of Experience (QoE) and integrating these measurements into video streaming algorithms is a multi-faceted problem that fundamentally requires the design of comprehensive subjective QoE databases and metrics. To achieve this goal, we have recently designed the LIVE-NFLX-II database, a highly-realistic database which contains subjective QoE responses to various design dimensions, such as bitrate adaptation algorithms, network conditions and video content. Our database builds on recent advancements in content-adaptive encoding and incorporates actual network traces to capture realistic network variations on the client device. Using our database, we study the effects of multiple streaming dimensions on user experience and evaluate video quality and quality of experience models. We believe that the tools introduced here will help inspire further progress on the development of perceptuallyoptimized client adaptation and video streaming strategies.

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Christos G Bampis, Zhi Li, Ioannis Katsavounidis, Chaitanya Ekanadham, Alan C Bovik, "Subjective Analysis of an End-to-end Streaming Systemin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XVI,  2019,  pp 321-1 - 321-8,  https://doi.org/10.2352/ISSN.2470-1173.2019.10.IQSP-321

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