Design of video quality metrics with multi-way data analysis : a data driven approach

• 作者： Keimel, Christian, author.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • T-Labs series in telecommunication services.
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 叢書名： T-Labs series in telecommunication services,
• 主題： Signal processing--Digital techniques. , Optical communications. , Engineering. , Signal, Image and Speech Processing. , User Interfaces and Human Computer Interaction. , Communications Engineering, Networks.
• ISBN： 9789811002694 (electronic bk.) 、 9789811002687 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
• More
• 摘要註: 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.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: