book

Multimedia Quality of Experience (QoE)

by Chang Wen Chen, Periklis Chatzimisios, Tasos Dagiuklas, Luigi Atzori

January 2016

Intermediate to advanced

192 pages

7h 18m

English

Wiley

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2.1 Introduction2.2 Definitions of QoE2.3 Differences Between QoE and QoS2.4 Factors Influencing QoE2.5 Service QoE2.6 Human Factors and QoE2.7 The Role of QoE in Communication Ecosystems2.8 ConclusionsAcknowledgmentsNotesReferencesAcronyms
3.1 Overview3.2 Quality Metric Taxonomy3.3 Basic Computational Modules for Perceptual Quality Metrics3.4 Quality Metrics for Images3.5 Quality Metrics for Video3.6 Quality Metrics for Audio/Speech3.7 Joint Audiovisual Quality Metrics3.8 Concluding RemarksReferencesAcronyms
4.1 Introduction4.2 HAS Concepts and Standardization Overview4.3 QoE in 3GPP DASH4.4 Link-Aware Adaptive Streaming4.5 Video-Aware Radio Resource Allocation4.6 DASH over e-MBMS4.7 Server–Client Signaling Interface Enhancements for DASH4.8 ConclusionNotesReferencesAcronyms
5.1 Introduction5.2 No-Reference Quality Assessment5.3 Image and Video Quality Databases5.4 Performance Evaluation5.5 Applications5.6 Challenges and Future Directions5.7 ConclusionReferencesAcronyms
6.1 Human Visual Perception and QoE Assessment6.2 Models and Approaches to QoE Assessment6.3 Offline and Online Evaluation6.4 RemarksAcknowledgmentsNotesReferencesAcronyms
7.1 Introduction7.2 QoE Monitoring7.3 QoE Management and Control7.4 ConclusionAcknowledgmentReferencesFurther ReadingAcronyms

Content preview from Multimedia Quality of Experience (QoE)

6 QoE Subjective and Objective Evaluation Methodologies

Hong Ren Wu

RMIT, Australia

The discussions in previous chapters have highlighted an increasing emphasis on Quality of Experience (QoE) [1] compared with Quality of Service (QoS) [2] in audio-visual communication, broadcasting and entertainment applications, which signals a transition from technology-driven services to user-centric (or perceived) quality-assured services [3]. QoE as defined by ITU SG 12¹ is application or service specific and influenced by user expectations and context [1], and therefore necessitates assessments of perceived service quality and/or utility (or usefulness) of the service [4]. Subjective assessment and evaluation of the service are imperative to establish the ground truth for objective assessment and measures which aid in the design/optimization of devices, products, systems, and services in either the online or offline mode [1]. Assessment or prediction of QoE in multimedia services will have to take account of at least three major factors, including audio signal quality perception, visual signal quality perception, and interaction or integration of the perceived audio and visual signal quality [5–7], considering coding, transmission, and application/service conditions [3, 6, 8, 9]. This chapter focuses on the issues underpinning the theoretical frameworks/models and methodologies for QoE subjective and objective evaluation of visual signal communication services.

Subjective picture quality ...