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Design of video quality metrics with...

Keimel, Christian.

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Design of video quality metrics with multi-way data analysis = a data driven approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Design of video quality metrics with multi-way data analysis/ by Christian Keimel.
Reminder of title:	a data driven approach /
Author:	Keimel, Christian.
Published:	Singapore :Springer Singapore : : 2016.,
Description:	xv, 240 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Signal processing - Digital techniques. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-0269-4
ISBN:	9789811002694$q(electronic bk.)

Design of video quality metrics with multi-way data analysis = a data driven approach /
Keimel, Christian.

Design of video quality metrics with multi-way data analysisa data driven approach /[electronic resource] :by Christian Keimel. - Singapore :Springer Singapore :2016. - xv, 240 p. :ill. (some col.), digital ;24 cm. - T-Labs series in telecommunication services,2192-2810. - T-Labs series in telecommunication services..

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.

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.

ISBN: 9789811002694$q(electronic bk.)

Standard No.: 10.1007/978-981-10-0269-4doiSubjects--Topical Terms:

624853
Signal processing
--Digital techniques.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

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300 $a xv, 240 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a T-Labs series in telecommunication services, $x 2192-2810
505 0 $a 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.
520 $a 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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