Quality Estimation Models for Gaming Video Streaming Services Using Perceptual Video Quality Dimensions

In this paper, we provide a gaming video quality dataset that considers hardware-accelerated engines for video compression using the H.264 standard. In addition, we investigate the performance of signal-based and parametric video quality models on the new gaming video dataset. Finally, we build two novel parametric-based models, planning and a monitoring model, for gaming quality estimation. Both models are based on perceptual video quality dimensions and can be used to optimize the resource allocation of gaming video streaming services.