Design of Video Quality Metrics with Multi-Way Data Analysis, 1st ed. 2016 A data driven approach T-Labs Series in Telecommunication Services Series

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. 

Introduction.- Video Quality.- Video Quality Metrics.- Data Analysis Approach.- Two-way Data Analysis.- Multi-way Data Analysis.- Model Building Considerations.- Designing Video Quality Metrics.- Performance Comparison.- Conclusion.

Proposes a data-driven methodology using multi-way data analysis for the design of video quality metrics Enables video-quality metrics using arbitrary features to be created Demonstrates that multi-way data analysis methods outperform the combination of two-way data analysis methods and temporal pooling Includes supplementary material: sn.pub/extras