Automatic QoE evaluation for asymmetric encoding of 3D videos for DASH streaming service

The paper is based on the study of the performance of a Dynamic Adaptive Streaming over HTTP (DASH) system in the context of 3D video streaming, using different scenarios and network conditions, specifically with bandwidth variations. The objective is the development of a framework for the evaluatio...

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Vydáno v:Ad hoc networks Ročník 106; s. 102184
Hlavní autoři: Guzmán, Paola, Arce, Pau, Guerri, Juan Carlos
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.09.2020
Témata:
3D video
DASH
ITU-T P.1203
Performance evaluation
Puppeteer
Quality of Experience
Testbed evaluation
Performance evaluation
Streaming
3D video
Quality of Experience
Puppeteer
QoE
Testbed evaluation
ITU-T P.1203
Performance
DASH
ISSN:1570-8705, 1570-8713
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Shrnutí:The paper is based on the study of the performance of a Dynamic Adaptive Streaming over HTTP (DASH) system in the context of 3D video streaming, using different scenarios and network conditions, specifically with bandwidth variations. The objective is the development of a framework for the evaluation of QoE in 3D adaptive video streaming scenarios, which allows to analyze the impact on the user's Quality of Experience (QoE) using different bandwidth variation patterns (switching frequency, range and type of variation), among other aspects. A set of subjective tests will be carried out, with the aim of identifying the correlation between the quality of the user experience and the frequency, type, range and temporal location of the bandwidth switching events. The proposed framework allows performance measurements to be carried out in an automated and systematic way for the evaluation of DASH systems in 2D and 3D video streaming service. We have used Puppeteer, the Node.js library developed by Google, which provides a high-level API, to automate actions on Chrome Devtools Protocol, such as starting playback, causing bandwidth changes and saving the results of quality change processes, timestamps, stalls and so on. From this data, a processing is made to allow the reconstruction of the visualized video, as well as the extraction of quality metrics and the users’ QoE assessment using the ITU-T P.1203 recommendation. Categories and Subject Descriptors C.2.1 [Computer Systems Organization]: Computer Communications Networks– Network Architecture and Design, wireless communication
ISSN:1570-8705
1570-8713
DOI:10.1016/j.adhoc.2020.102184