The evaluation of video quality in over-the-top (OTT) services is crucial to customer satisfaction, which ultimately determines customer loyalty and profitability. This evaluation may take place objectively based on signal-related metrics or subjectively by considering the customer's subjective feelings when consuming content. This short paper presents a subjective quality survey in the DSCQS formula implemented in a production television system using adaptive streaming. The survey is implemented in the form of two video sequences. TV users were asked to rate their perception of video quality on a scale of 1 to 100. Additional information was collected regarding age, viewing level, and vision correction. When designing a survey of this type, it is important to remember that you may get results that are not related to the actual perceived video quality of the test sequence. It could be feedback after a crash or degradation of the TV service or even other Internet related services. The study was developed as part of the QoE rating estimation system for live TV services.

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Quality of Experience Studies in TV Systems: Insights and Lessons Learned

  • Pawel Andruloniw,
  • Piotr Zwierzykowski,
  • Karol Kowalik

摘要

The evaluation of video quality in over-the-top (OTT) services is crucial to customer satisfaction, which ultimately determines customer loyalty and profitability. This evaluation may take place objectively based on signal-related metrics or subjectively by considering the customer's subjective feelings when consuming content. This short paper presents a subjective quality survey in the DSCQS formula implemented in a production television system using adaptive streaming. The survey is implemented in the form of two video sequences. TV users were asked to rate their perception of video quality on a scale of 1 to 100. Additional information was collected regarding age, viewing level, and vision correction. When designing a survey of this type, it is important to remember that you may get results that are not related to the actual perceived video quality of the test sequence. It could be feedback after a crash or degradation of the TV service or even other Internet related services. The study was developed as part of the QoE rating estimation system for live TV services.