Multimedia QoE Evaluation

Xin Wei, Liang Zhou (Autoren)

Buch | Softcover

X, 82 Seiten

2019
Springer International Publishing (Verlag)
978-3-030-23349-5 (ISBN)

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This SpringerBrief discusses the most recent research in the field of multimedia QoE evaluation, with a focus on how to evaluate subjective multimedia QoE problems from objective techniques. Specifically, this SpringerBrief starts from a comprehensive overview of multimedia QoE definition, its influencing factors, traditional modeling and prediction methods. Subsequently, the authors introduce the procedure of multimedia service data collection, preprocessing and feature extractions. Then, describe several proposed multimedia QoE modeling and prediction techniques in details. Finally, the authors illustrate how to implement and demonstrate multimedia QoE evaluation in the big data platform. This SpringerBrief provides readers with a clear picture on how to make full use of multimedia service data to realize multimedia QoE evaluation.
With the exponential growth of the Internet technologies, multimedia services become immensely popular. Users can enjoy multimedia services from operators or content providers by TV, computers and mobile devices. User experience is important for network operators and multimedia content providers. Traditional QoS (quality of service) can not entirely and accurately describe user experience. It is natural to research the quality of multimedia service from the users' perspective, defined as multimedia quality of experience (QoE). However, multimedia QoE evaluation is difficult, because user experience is abstract and subjective, hard to quantify and measure. Moreover, the explosion of multimedia service and emergence of big data, all call for a new and better understanding of multimedia QoE.
This SpringerBrief targets advanced-level students, professors and researchers studying and working in the fields of multimedia communications and information processing. Professionals, industry managers, and government research employees working in these same fields will also benefit from this SpringerBrief.

Xin Wei received his Ph.D. degree major at Information and Communication Engineering from Southeast University, Nanjing, China in 2009. Now, he is an associate professor in Nanjing University of Posts and Telecommunications, China. His research interests are in the area of multimedia information processing, machine learning. Liang Zhou received his Ph.D. degree major at Electronic Engineering both from Ecole Normale Superieure (E.N.S.), Cachan, France and Shanghai Jiao Tong University, Shanghai, China in 2009. Now, he is a professor in Nanjing University of Posts and Telecommunications, China. His research interests are in the area of multimedia communications and computing.

1 Introduction.- 2 Technical Premise.- 3 Multimedia Service Data Preprocessing and Feature Extraction.- 4 Multimedia QoE Modeling and Prediction.- 5 Implementation and Demonstration.- 6 Conclusion.

Erscheinungsdatum	22.08.2019
Reihe/Serie	SpringerBriefs in Computer Science
Zusatzinfo	X, 82 p. 37 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	153 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Big Data • broad learning system • Deep Neural Network • Evaluation • feature extraction • implementation • influencing factors • itpv • machine learning • Modeling • Multimedia • Prediction • QoE • quality of experience • Spark • video on demand
ISBN-10	3-030-23349-9 / 3030233499
ISBN-13	978-3-030-23349-5 / 9783030233495
Zustand	Neuware