In this paper, a system for the real-time evaluation of video streaming Quality of Experience (QoE) based on the ITU-T P.1203 standard is presented. The proposed approach aims at estimating the Mean Opinion Score (MOS) in live streaming scenarios. It analyzes incoming media segments in real-time, leveraging a sliding window mechanism to assess the quality on a configurable number of segments. The system manages playback interruptions, such as buffering events, by integrating into the assessment pipeline a module to monitor player stalls and quality level switches. Experimental results demonstrate the system's effectiveness in different streaming conditions and highlight its ability to capture perceptual quality fluctuations, making it a valuable tool for content providers aiming to optimize user experience in adaptive streaming environments.
Real-Time QoE Assessment of Video Streaming based on ITU-T P.1203
Scarpa M.;Serrano S.;Distefano S.
2025-01-01
Abstract
In this paper, a system for the real-time evaluation of video streaming Quality of Experience (QoE) based on the ITU-T P.1203 standard is presented. The proposed approach aims at estimating the Mean Opinion Score (MOS) in live streaming scenarios. It analyzes incoming media segments in real-time, leveraging a sliding window mechanism to assess the quality on a configurable number of segments. The system manages playback interruptions, such as buffering events, by integrating into the assessment pipeline a module to monitor player stalls and quality level switches. Experimental results demonstrate the system's effectiveness in different streaming conditions and highlight its ability to capture perceptual quality fluctuations, making it a valuable tool for content providers aiming to optimize user experience in adaptive streaming environments.Pubblicazioni consigliate
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