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 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. 

Sommario

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.

Riassunto

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. 

Dettagli sul prodotto

• Autori: Christian Keimel
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2018
• EAN: 9789811091193
• ISBN: 978-981-10-9119-3
• Pagine: 240
• Dimensioni: 155 mm x 237 mm x 15 mm
• Peso: 397 g
• Illustrazioni: XV, 240 p. 52 illus., 2 illus. in color.
• Serie: T-Labs Series in Telecommunication Services; T-Labs Series in Telecommunica; T-Labs Series in Telecommunication Services
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni; B, engineering, Electrical Engineering, Signal, Image and Speech Processing, Communications Engineering, Networks, Signal Processing, Speech processing systems, Digital and Analog Signal Processing, Image processing, Communications engineering / telecommunications, User interface design & usability, User Interfaces and Human Computer Interaction, User interfaces (Computer systems)