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Multimedia QoE evaluation

Wei, Xin.

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Multimedia QoE evaluation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multimedia QoE evaluation/ by Xin Wei, Liang Zhou.
remainder title:	Multimedia quality of experience evaluation
Author:	Wei, Xin.
other author:	Zhou, Liang.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	x, 82 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Multimedia systems - Quality control. -
Online resource:	https://doi.org/10.1007/978-3-030-23350-1
ISBN:	9783030233501

Multimedia QoE evaluation
Wei, Xin.

Multimedia QoE evaluation[electronic resource] /Multimedia quality of experience evaluationby Xin Wei, Liang Zhou. - Cham :Springer International Publishing :2019. - x, 82 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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.

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.

ISBN: 9783030233501

Standard No.: 10.1007/978-3-030-23350-1doiSubjects--Topical Terms:

3502158
Multimedia systems
--Quality control.

LC Class. No.: QA76.575 / .W45 2019

Dewey Class. No.: 006.7

Multimedia QoE evaluation
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505 0 $a 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.
520 $a 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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