Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Plymouth
QoE Prediction Model and its Application in Video Quality Adaptation Over UMTS Networks
Predicting and optimising video quality for mobile video-streaming is key to service providers for customer retention. Video quality is affected by network impairments and/or video compression. The impact of these distortions varies depending on the content being viewed, and this aspect has received scant research attention so far. We present a novel, content-based QoE prediction model that was the first to predict video quality by bringing together video content-type, network QoS and video application parameters. Subjective tests have shown the model to be promising. The application of the model for video quality adaptation has also been demonstrated.