|
![]() |
|||
|
||||
OverviewThis 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. Full Product DetailsAuthor: Christian KeimelPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: Softcover reprint of the original 1st ed. 2016 Dimensions: Width: 15.50cm , Height: 1.40cm , Length: 23.50cm Weight: 0.454kg ISBN: 9789811091193ISBN 10: 9811091196 Pages: 240 Publication Date: 31 March 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |