Chang Wen Chen & Periklis Chatzimisios 
Multimedia Quality of Experience (QoE) 
Current Status and Future Requirements

Multimedia Quality of Experience (Qo E)

Current Status and Future Requirements

Multimedia Quality of Experience (Qo E): Current Status and Future Requirements discusses the current status of Qo E (Quality of Experience) research, providing guidelines on Qo E assessment and management practice. Moreover, it covers many different aspects of Qo E research, including definitions, standardization (ITU, ETSI, IEEE, IETF), measurement, management, and architectures. In addition, the authors bring together contributions from recognized experts (worldwide) in the area of subjective and objective Qo E video assessment.

* Discusses the current status of Qo E research; reporting the latest advances from various standardization bodies

* Provides guidelines on Qo E assessment and management practice

* Explores methods, means, and architectures of Qo E

* Considers future requirements of Qo E

Table of Content

About the Editors ix

List of Contributors xi

Preface xiii

1 Introduction 1
Tasos Dagiuklas, Luigi Atzori, Chang Wen Chen and Periklis Chatzimisios

2 Qo E.Defining a User-Centric Concept for Service Quality 5
Mart´yn Varela, Lea Skorin-Kapov, Katrien De Moor and Peter Reichl

2.1 Introduction 5

2.2 Definitions of Qo E 6

2.3 Differences Between Qo E and Qo S 7

2.4 Factors Influencing Qo E 9

2.5 Service Qo E 12

2.6 Human Factors and Qo E 15

2.7 The Role of Qo E in Communication Ecosystems 19

2.8 Conclusions 24

Acknowledgments 24

References 25

Acronyms 28

3 Review of Existing Objective Qo E Methodologies 29
Yuming Fang, Weisi Lin and Stefan Winkler

3.1 Overview 29

3.2 Quality Metric Taxonomy 30

3.3 Basic Computational Modules for Perceptual Quality Metrics 35

3.4 Quality Metrics for Images 43

3.5 Quality Metrics for Video 46

3.6 Quality Metrics for Audio/Speech 50

3.7 Joint Audiovisual Quality Metrics 52

3.8 Concluding Remarks 53

References 54

Acronyms 66

4 Quality of Experience for HTTP Adaptive Streaming Services 69
Ozgur Oyman, Vishwanath Ramamurthi, Utsaw Kumar, Mohamed Rehan and Rana Morsi

4.1 Introduction 69

4.2 HAS Concepts and Standardization Overview 71

4.3 Qo E in 3GPP DASH 74

4.4 Link-Aware Adaptive Streaming 77

4.5 Video-Aware Radio Resource Allocation 81

4.6 DASH over e-MBMS 87

4.7 Server-Client Signaling Interface Enhancements for DASH 90

4.8 Conclusion 95

References 96

Acronyms 97

5 No-Reference Approaches to Image and Video Quality Assessment 99
Anish Mittal, Anush K. Moorthy and Alan C. Bovik

5.1 Introduction 99

5.2 No-Reference Quality Assessment 101

5.3 Image and Video Quality Databases 107

5.4 Performance Evaluation 109

5.5 Applications 111

5.6 Challenges and Future Directions 113

5.7 Conclusion 115

References 116

Acronyms 121

6 Qo E Subjective and Objective Evaluation Methodologies 123
Hong Ren Wu

6.1 Human Visual Perception and Qo E Assessment 125

6.2 Models and Approaches to Qo E Assessment 130

6.3 Offline and Online Evaluation 141

6.4 Remarks 141

Acknowledgments 143

References 143

Acronyms 147

7 Qo E Control, Monitoring, and Management Strategies 149
Maria G. Martini, Chaminda T.E.R. Hewage, Moustafa M. Nasrall and Ognen Ognenoski

7.1 Introduction 149

7.2 Qo E Monitoring 150

7.3 Qo E Management and Control 155

7.4 Conclusion 162

Acknowledgment 163

References 163

Further Reading 166

Acronyms 167

8 Conclusions 169
Tasos Dagiuklas, Luigi Atzori, Chang Wen Chen and Periklis Chatzimisios

Index 173

About the author

Edited By

Chang Wen Chen, State University of New York at Buffalo, USA

Periklis Chatzimisios, Alexander Technological Educational Institute, Thessaloniki, Greece

Tasos Dagiuklas, Hellenic Open University, Greece

Luigi Atzori, University of Cagliari, Italy