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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Keimel, Christian (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:T-Labs Series in Telecommunication Services,
Temas:
Signal processing.
User interfaces (Computer systems).
Human-computer interaction.
Telecommunication.
Signal, Speech and Image Processing .
User Interfaces and Human Computer Interaction.
Communications Engineering, Networks.
Acceso en línea:Texto Completo

MARC

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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. 
250 |a 1st ed. 2016. 
264 1 |a Singapore :  |b Springer Nature Singapore :  |b Imprint: Springer,  |c 2016. 
300 |a XV, 240 p. 52 illus., 2 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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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. 
650 0 |a User interfaces (Computer systems). 
650 0 |a Human-computer interaction. 
650 0 |a Telecommunication. 
650 1 4 |a Signal, Speech and Image Processing . 
650 2 4 |a User Interfaces and Human Computer Interaction. 
650 2 4 |a Communications Engineering, Networks. 
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830 0 |a T-Labs Series in Telecommunication Services,  |x 2192-2829 
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950 |a Engineering (R0) (SpringerNature-43712) 

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