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.
| Autorius: | Christian Keimel |
| Serija: | T-Labs Series in Telecommunication Services |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 256 |
| ISBN-10: | 9811091196 |
| ISBN-13: | 9789811091193 |
| Formatas: | 235 x 155 x 15 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Design of Video Quality Metrics with Multi-Way Data Analysis: A data driven approach“
