Design of Video Quality Metrics with Multi-Way Data Analysis

A data driven approach

  • Christian┬áKeimel

Part of the T-Labs Series in Telecommunication Services book series (TLABS)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Christian Keimel
    Pages 1-7
  3. Video Quality Assessment

    1. Front Matter
      Pages 9-9
    2. Christian Keimel
      Pages 11-29
    3. Christian Keimel
      Pages 31-53
  4. Data Analysis

    1. Front Matter
      Pages 55-55
    2. Christian Keimel
      Pages 57-70
    3. Christian Keimel
      Pages 71-90
    4. Christian Keimel
      Pages 91-113
    5. Christian Keimel
      Pages 115-124
  5. Design of Video Quality Metrics

    1. Front Matter
      Pages 125-125
    2. Christian Keimel
      Pages 127-144
    3. Christian Keimel
      Pages 145-176
    4. Christian Keimel
      Pages 177-178
  6. Back Matter
    Pages 179-240

About this book


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. 


multi-way data analysis H,264/AVC video quality metrics TUM1080p50 LIVE Video Quality

Authors and affiliations

  • Christian┬áKeimel
    • 1
  1. 1.MunichGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Singapore 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-10-0268-7
  • Online ISBN 978-981-10-0269-4
  • Series Print ISSN 2192-2810
  • Series Online ISSN 2192-2829
  • Buy this book on publisher's site