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Quality of Experience Modeling for Cloud Gaming Services

  • Book
  • © 2022

Overview

Authors:
  1. Saman Zadtootaghaj

    1. Technische Universität Berlin, Berlin, Germany

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  • Introduces a gaming Quality of Experience (QoE) model that can be used to predict
  • Describes multiple video quality models, signal-based, bitstream-based
  • Presents guidelines for conducting the subjective test

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

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Introduction

    • Saman Zadtootaghaj
    Pages 1-5

  3. Gaming Quality of Experience

    • Saman Zadtootaghaj
    Pages 7-40

  4. Process for Model Development

    • Saman Zadtootaghaj
    Pages 41-64

  5. Video Coding Impairment Models

    • Saman Zadtootaghaj
    Pages 65-94

  6. Integration of Impairment Factors to Gaming QoE

    • Saman Zadtootaghaj
    Pages 95-105

  7. Performance Evaluation

    • Saman Zadtootaghaj
    Pages 107-131

  8. Future Challenges: Enhancement Techniques

    • Saman Zadtootaghaj
    Pages 133-140

  9. Conclusion and Outlook

    • Saman Zadtootaghaj
    Pages 141-149

  10. Back Matter

    Pages 151-170
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Keywords

About this book

This book presents the development of a gaming quality model to predict the gaming Quality of Experience (QoE) of players that could be used for planning the network service or quality monitoring of cloud gaming services. The author presents a model that is developed following a modular structure approach that keeps the different types of impairments separately. The book shows how such a modular structure allows developing a sustainable model as each component can be updated by advances in that specific research area or technology. The presented gaming quality model takes into account two modules of video quality and input quality. The latter considers the interactivity aspects of gaming. The video quality module offers a series of models that differ depending on the level of access to the video stream information, allowing high flexibility for service providers regarding the positions of measuring points within their system. In summary, the present book focuses on (1) creation of multiple image/video and cloud gaming quality datasets, (2) development of a gaming video classification, and (3) development of a series of gaming QoE models to predict the gaming QoE depending on the level of access to the video stream information.

Authors and Affiliations

  • Technische Universität Berlin, Berlin, Germany

    Saman Zadtootaghaj

About the author

Saman Zadtootaghaj is a senior research engineer at Dolby laboratories. His main interest is the subjective and objective quality assessment of Computer-Generated content. He worked as a researcher at Telekom Innovation Laboratories of Deutsche Telekom AG from 2016 to 2018 as part of the European project called QoE-Net. He completed his Ph.D. at the Quality Usability lab group of TU Berlin under the supervision of Prof. Dr.-Ing. Sebastian Moller. He is currently the chair of the Computer-Generated Imagery group at Video Quality Expert Group and an active member of ITU-T Study Group 12, leading the P.BBQCG work item. Saman has over 40 publications in multiple conferences and journals, including best paper awards of NetGames workshop 2018. He strongly contributed to the ITU-T SG 12, including over 20 contributions within the past five years.

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