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Design of Video Quality Metrics with Multi-Way Data Analysis

A data driven approach

  • Book
  • © 2016

Overview

  • 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. Video Quality Assessment

  2. Data Analysis

  3. Design of Video Quality Metrics

Keywords

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

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