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Multimedia QoE Evaluation (Paperback, 1st ed. 2019)
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Multimedia QoE Evaluation (Paperback, 1st ed. 2019)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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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.
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