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  • © 2016

Design of Video Quality Metrics with Multi-Way Data Analysis

A data driven approach

Authors:

  • 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-way data analysis methods outperform the combination of two-way data analysis methods and temporal pooling
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xv
  2. Introduction

    • Christian Keimel
    Pages 1-7
  3. Video Quality Assessment

    1. Front Matter

      Pages 9-9
    2. Video Quality

      • Christian Keimel
      Pages 11-29
    3. Video Quality Metrics

      • Christian Keimel
      Pages 31-53
  4. Data Analysis

    1. Front Matter

      Pages 55-55
    2. Data Analysis Approach

      • Christian Keimel
      Pages 57-70
    3. Two-Way Data Analysis

      • Christian Keimel
      Pages 71-90
    4. Multi-Way Data Analysis

      • Christian Keimel
      Pages 91-113
    5. Model Building Considerations

      • Christian Keimel
      Pages 115-124
  5. Design of Video Quality Metrics

    1. Front Matter

      Pages 125-125
    2. Designing Video Quality Metrics

      • Christian Keimel
      Pages 127-144
    3. Performance Comparison

      • Christian Keimel
      Pages 145-176
    4. Conclusion

      • 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. 

Authors and Affiliations

  • Munich, Germany

    Christian Keimel

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access