Perceptual aliasing factors and the impact of frame rate on video quality
High frame rate (HFR) videos have become increasingly popular in the past few years, and frame rate is one of the major parameters for adjusting video data rate in real-world video delivery services. To achieve the best trade-off between bandwidth saving and video quality preservation by way of frame rate adaptation, it is essential to understand the impact of frame rate on video quality. In this work, we look at the problem from the viewpoint of perceptual information loss by perceptual aliasing analysis. We propose several measures, namely temporal aliasing power, temporal aliasing factor, spatiotemporal aliasing factor, and perceptual spatiotemporal aliasing factor, and use them as quality predictors for videos under frame rate changes. We also construct a database and conduct a subjective test on videos of different frame rates. Our results suggest great potentials of the proposed perceptual aliasing analysis approach.