國立虎尾科技大學 |

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

Record Type:	Language materials, printed : 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.;
Contained By:	Springer eBooks
Subject:	Signal processing - Digital techniques. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-0269-4
ISBN:	9789811002694

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

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

556357
Signal processing
--Digital techniques.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

Design of video quality metrics with multi-way data analysis = a data driven approach /
LDR:02168nam a2200349 a 4500 001 861635
003 DE-He213
005 20160809131959.0
006 m d
007 cr nn 008maaau
008 170720s2016 si s 0 eng d
020 $a 9789811002694 $q (electronic bk.)
020 $a 9789811002687 $q (paper)
024 7 $a 10.1007/978-981-10-0269-4 $2 doi
035 $a 978-981-10-0269-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5102.9
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 621.3822 $2 23
090 $a TK5102.9 $b .K27 2016
100 1 $a Keimel, Christian. $3 1104154
245 1 0 $a Design of video quality metrics with multi-way data analysis $h [electronic resource] : $b a data driven approach / $c by Christian Keimel.
260 $a Singapore : $c 2016. $b Springer Singapore : $b Imprint: Springer,
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.
650 0 $a Signal processing $x Digital techniques. $3 556357
650 0 $a Optical communications. $3 572663
650 1 4 $a Engineering. $3 561152
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Communications Engineering, Networks. $3 669809
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a T-Labs series in telecommunication services. $3 884776
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-0269-4
950 $a Engineering (Springer-11647)