Passive Video Quality Assessment Using Lab and Remote Testing
T-Labs Series in Telecommunication Services
; : 81-96, 2023.
Article
in English
| Scopus | ID: covidwho-2244979
ABSTRACT
In this chapter, research about the assessment of video quality for gaming content will be provided. At first, a dataset that was used for the development of the ITU-T Rec. G.1072 will be presented. The dataset was created in a laboratory environment using the passive test paradigm described in Chap. 3. Next, some results of the collected video quality ratings will be illustrated. While QoE assessment studies traditionally make use of controlled laboratory environments, there are also other possibilities to conduct user studies without a laboratory environment. Especially during the COVID-19 pandemic, which prevented many researchers from performing lab studies, the concept of supervised and unsupervised remote studies got lots of attention. By using such a remote study design, two studies assessing video quality ratings of similar conditions as in the previously mentioned dataset were conducted. These two studies allow to address three research topics that will be the focus of the remainder of this chapter. At first, it will be investigated whether video quality ratings obtained using the remote study design are comparable to those collected in the lab environment. Second, a comparison between video quality ratings collected using a stimulus duration of 20 s instead of 30 s will be performed, which tries to answer whether it is enough to use a shorter stimulus duration as proposed in ITU-T Rec. P.809. Lastly, the differences between using a discrete 5-point ACR scale and the extended continuous 7-point scales will be investigated. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
COVID-19; Laboratories; Quality of service; Statistical tests; Cloud gamings; Interactive user study; Laboratory test; Mean opinion score; Mean opinion scores; Passive user study; Passive users; Quality assessment; Quality of experience; Rating scale; Remote testing; Stimulus duration; User study; User testing; Video complexity; Video quality; Crowdsourcing; Cloud gaming; Interactive user studies; Laboratory tests; Mean opinion score (MOS); Passive user studies; Quality of experience (QoE); Rating scales
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
T-Labs Series in Telecommunication Services
Year:
2023
Document Type:
Article
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