Design of Video Quality Metrics with Multi-Way Data Analysis
A data driven approach
(Sprache: Englisch)
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...
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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. Inhaltsverzeichnis zu „Design of Video Quality Metrics with Multi-Way Data Analysis “
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.Bibliographische Angaben
- Autor: Christian Keimel
- 2018, Softcover reprint of the original 1st ed. 2016, XV, 240 Seiten, 2 farbige Abbildungen, Maße: 15,5 x 23,7 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811091196
- ISBN-13: 9789811091193
Sprache:
Englisch
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