Design of Video Quality Metrics with Multi-Way Data Analysis: A data driven approach: T-Labs Series in Telecommunication Services
Autor Christian Keimelen Limba Engleză Hardback – 8 ian 2016
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Specificații
ISBN-13: 9789811002687
ISBN-10: 9811002681
Pagini: 240
Ilustrații: XV, 240 p. 52 illus., 2 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.54 kg
Ediția:1st ed. 2016
Editura: Springer Nature Singapore
Colecția Springer
Seria T-Labs Series in Telecommunication Services
Locul publicării:Singapore, Singapore
ISBN-10: 9811002681
Pagini: 240
Ilustrații: XV, 240 p. 52 illus., 2 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.54 kg
Ediția:1st ed. 2016
Editura: Springer Nature Singapore
Colecția Springer
Seria T-Labs Series in Telecommunication Services
Locul publicării:Singapore, Singapore
Public țintă
ResearchCuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
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