Overview
- 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
Part of the book series: T-Labs Series in Telecommunication Services (TLABS)
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About this book
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.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Video Quality Assessment
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Front Matter
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Data Analysis
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Front Matter
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Design of Video Quality Metrics
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Design of Video Quality Metrics with Multi-Way Data Analysis
Book Subtitle: A data driven approach
Authors: Christian Keimel
Series Title: T-Labs Series in Telecommunication Services
DOI: https://doi.org/10.1007/978-981-10-0269-4
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Hardcover ISBN: 978-981-10-0268-7Published: 08 January 2016
Softcover ISBN: 978-981-10-9119-3Published: 31 March 2018
eBook ISBN: 978-981-10-0269-4Published: 29 December 2015
Series ISSN: 2192-2810
Series E-ISSN: 2192-2829
Edition Number: 1
Number of Pages: XV, 240
Number of Illustrations: 50 b/w illustrations, 2 illustrations in colour
Topics: Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction, Communications Engineering, Networks