| 书目名称 | Design of Video Quality Metrics with Multi-Way Data Analysis |
| 副标题 | A data driven approa |
| 编辑 | Christian Keimel |
| 视频video | http://file.papertrans.cn/269/268785/268785.mp4 |
| 概述 | 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-wa |
| 丛书名称 | T-Labs Series in Telecommunication Services |
| 图书封面 |  |
| 描述 | 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. . |
| 出版日期 | Book 2016 |
| 关键词 | multi-way data analysis; H,264/AVC; video quality metrics; TUM1080p50; LIVE Video Quality |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-0269-4 |
| isbn_softcover | 978-981-10-9119-3 |
| isbn_ebook | 978-981-10-0269-4Series ISSN 2192-2810 Series E-ISSN 2192-2829 |
| issn_series | 2192-2810 |
| copyright | Springer Science+Business Media Singapore 2016 |
|Archiver|手机版|小黑屋|
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