This book proposes a data-driven methodology using multi-way data
analysis for the design of video-quality metrics. It also enables video-
quality metrics to be created using arbitrary features. This data-
driven design approach not only requires no detailed knowledge of the
human visual system, but also allows a proper consideration of the
temporal nature of video using a three-way prediction model,
corresponding to the three-way structure of video. Using two simple
example metrics, the author demonstrates not only that this purely data-
driven approach outperforms state-of-the-art video-quality metrics,
which are often optimized for specific properties of the human visual
system, but also that multi-way data analysis methods outperform the
combination of two-way data analysis methods and temporal pooling.