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

Author:   Christian Keimel
Publisher:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2016
ISBN:  

9789811091193


Pages:   240
Publication Date:   31 March 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Design of Video Quality Metrics with Multi-Way Data Analysis: A data driven approach


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Overview

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. 

Full Product Details

Author:   Christian Keimel
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789811091193


ISBN 10:   9811091196
Pages:   240
Publication Date:   31 March 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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