A modular HTTP adaptive streaming QoE model — Candidate for ITU-T P.1203 (“P.NATS”)

Abstract

This paper describes a quality model for HTTP Adaptive Streaming. It integrates existing audio and video quality scores to a final quality estimation, factoring in quality variations over time, the recency effect, as well as location and length of buffering events at the player side. We built the model based on data gathered from more than 17 subjective quality tests. It was submitted to the ITU-T P.NATS competition; parts of it have since been released in the official recommendation ITU-T P.1203.3 as an “audiovisual quality integration module”. In the context of standardization, the model was validated on 30 subjective databases, showing high performance. Its modular approach allows its components to be re-used in other applications and combined with different temporal pooling techniques.