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...

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Bibliographic Details
Main Author: Keimel, Christian (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:T-Labs Series in Telecommunication Services,
Subjects:
Signal processing.
User interfaces (Computer systems).
Human-computer interaction.
Telecommunication.
Signal, Speech and Image Processing.
User Interfaces and Human Computer Interaction.
Communications Engineering, Networks.
Online Access:Full-text access
Description
Summary: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. .
Physical Description:XV, 240 p. 52 illus., 2 illus. in color. online resource.
ISBN:9789811002694
ISSN:2192-2829
DOI:10.1007/978-981-10-0269-4

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