A Bitstream-Based, Scalable Video-Quality Model For Http Adaptive Streaming: Itu-T P. 1203.1

The paper presents the scalable video quality model part of the P. 1203 Recommendation series, developed in a competition within ITU-T Study Group 12 previously referred to as P. NATS. It provides integral quality predictions for 1 up to 5 min long media sessions for HTTP Adaptive Streaming (HAS) with up to HD video resolution. The model is available in four modes of operation for different levels of media-related bitstream information, reflecting different types of encryption of the media stream. The video quality model presented in this paper delivers short-term video quality estimates that serve as input to the integration component of the P. 1203 model. The scalable approach consists in the usage of the same components for spatial and temporal scaling degradations across all modes. The third component of the model addresses video coding artifacts. To this aim, a single model parameter is introduced that can be derived from different types of bitstream input information. Depending on the complexity of the available input, one of four scaling-levels of the model is applied. The paper presents the different novelties of the model and scientific choices made during its development, the test design, and an analysis of the model performance across the different modes.