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Visual Signal Quality Assessment

Quality of Experience (QoE)

  • Chenwei Deng
  • Lin Ma
  • Weisi Lin
  • King Ngi Ngan

Table of contents

  1. Front Matter
    Pages i-xii
  2. Judith A. Redi, Yi Zhu, Huib de Ridder, Ingrid Heynderickx
    Pages 31-72
  3. Manri Cheon, Soo-Jin Kim, Chan-Byoung Chae, Jong-Seok Lee
    Pages 99-127
  4. Manish Narwaria, Matthieu Perreira Da Silva, Patrick Le Callet
    Pages 129-155
  5. Che-Chun Su, Anush Krishna Moorthy, Alan Conrad Bovik
    Pages 185-212
  6. Lin Ma, Chenwei Deng, Weisi Lin, King Ngi Ngan, Long Xu
    Pages 213-242
  7. Guillaume Lavoué, Rafał Mantiuk
    Pages 243-286
  8. Chenwei Deng, Shuigen Wang, Lin Ma
    Pages 287-302

About this book

Introduction

This book provides comprehensive coverage of the latest trends/advances in subjective and objective quality evaluation for traditional visual signals, such as 2D images and video, as well as the most recent challenges for the field of multimedia quality assessment and processing, such as mobile video and social media. Readers will learn how to ensure the highest storage/delivery/ transmission quality of visual content (including image, video, graphics, animation, etc.) from the server to the consumer, under resource constraints, such as computation, bandwidth, storage space, battery life, etc.

  

  • Provides an overview of quality assessment for traditional visual signals;
  • Covers newly emerged visual signals such as social media, 3D image/video, mobile video, high dynamic range (HDR) images, graphics/animation, etc., which demand better quality of experience (QoE);
  • Helps readers to develop better quality metrics and processing methods for newly emerged visual signals;
  • Enables testing, optimizing, benchmarking, monitoring, and inspecting systems and services related to visual QoE.

Keywords

3D Image and Video Quality Assessment Graphics and Animation Quality Assessment HDR Image and Video Quality Assessment Mobile Media Quality Assessment QoE Visual Quality of Experience Visual Signal Quality Assessment

Editors and affiliations

  • Chenwei Deng
    • 1
  • Lin Ma
    • 2
  • Weisi Lin
    • 3
  • King Ngi Ngan
    • 4
  1. 1.School of Information and ElectronicsBeijing Institute of TechnologyBeijingChina
  2. 2.Huawei Noah’s Ark LabQuarry BayHong Kong SAR
  3. 3.School of Computer EngineeringNanyang Technological UniversitySingapore
  4. 4.Department of Electronic EngineeringThe Chinese University of Hong KongShatin, N.T.Hong Kong SAR

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-10368-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-10367-9
  • Online ISBN 978-3-319-10368-6
  • Buy this book on publisher's site
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