[hal-01077544] A Hybrid Contextual User Perception Model for Streamed Video Quality Assessment

Users’ satisfaction is the service providers’ aim to reduce the churn promote new services and improve ARPU Average Revenue per User In this work a novel hybrid assessment technique is presented It refines known mathematical models for quality assessment using both context information and subjectives tests The model is then enriched with new features such as content characteristics device type and network status and compared to the state of the art The effect of application parameters startup time and buffering ratio on user perceived quality is also analyzed in this article



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