Design of Video Quality Metrics with Multi-Way Data Analysis: A data driven approach

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.

Table of Contents

Chapter 1 Introduction

Part I Video Quality Assessment
Chapter 2 Video Quality
Chapter 3 Video Quality Metrics

Part II Data Analysis
Chapter 4 Data Analysis Approach
Chapter 5 Two-Way Data Analysis
Chapter 6 Multi-Way Data Analysis
Chapter 7 Model Building Considerations

Part III Design of Video Quality Metrics
Chapter 8 Designing Video Quality Metrics
Chapter 9 Performance Comparison
Chapter 10 Conclusion

Appendix A Algebra of Arrays and Component Models
Appendix B Video Quality Assessment Methods
Appendix C Additional Results