Keynote 3: Quality of Experience in the Era of Immersive Networked Multimedia Services

2021 ◽  
Keyword(s):  
Quality Of Experience ◽  
Multimedia Services ◽  
Networked Multimedia

Optimizing User Quality of Experience through Overlay Routing, Bandwidth Management and Dynamic Trans-Coding

2012 ◽  
pp. 160-180
Author(s):  
Maarten Wijnants ◽  
Wim Lamotte ◽  
Bart De Vleeschauwer ◽  
Filip De Turck ◽  
Bart Dhoedt ◽  
...  
Keyword(s):  
Packet Loss ◽  
Quality Of Experience ◽  
Multimedia Data ◽  
Effective Bandwidth ◽  
Bandwidth Management ◽  
Multimedia Services ◽  
Overlay Routing ◽  
Last Mile ◽  
Time Critical

Accessing multimedia services via fixed and wireless networks has become common practice. These services are typically much more sensitive to packet loss, delay and/or congestion than traditional services. In particular, multimedia data is often time critical and, as a result, network issues are not well tolerated and significantly deteriorate the user’s Quality of Experience (QoE). Therefore, the authors propose a QoE optimization platform that is able to mitigate problems that might occur at any location in the delivery path from service provider to customer. More specifically, the distributed architecture supports overlay routing to circumvent erratic parts of the network core. In addition, it comprises proxy components that realize last mile optimization through automatic bandwidth management and the application of processing on multimedia flows. This paper introduces a trans-coding service for this proxy component which enables the transformation of H.264/AVC video flows to an arbitrary bitrate. Through representative experimental results, the authors illustrate how this addition enhances the QoE optimization capabilities of the proposed platform by allowing the proxy component to compute more flexible and effective bandwidth distributions.

QoE Measurements and Analysis for VoIP Services

2016 ◽  
pp. 285-308 ◽  
Author(s):  
Ramon Sanchez-Iborra ◽  
Maria-Dolores Cano ◽  
Salvador Moreno-Urrea ◽  
Joel J. P. C. Rodrigues
Keyword(s):  
Quality Of Service ◽  
Comparative Study ◽  
Quality Of Experience ◽  
Clear Relationship ◽  
Quality Level ◽  
Multimedia Services ◽  
Subjective Evaluations ◽  
Subjective Perspective ◽  
Network Metrics

Quality of Service (QoS) and Quality of Experience (QoE) are two different approaches that evaluate the quality level of a given service. In general, QoS models analyze objective network parameters, while QoE techniques focus on what the user actually perceives when consuming the service (subjective perspective). In this chapter, it is presented a comparative study of two voice codecs employed by two well-known VoIP applications, namely Skype and Jitsi, analyzing the provided quality from two perspectives: objective and subjective evaluations. To this end, several network metrics have been taken into account; in addition, the participants in this study completed different quality surveys in order to obtain their opinion about the evaluated services. Concretely, 60 quality tests with 60 subjects have been performed in a controlled wired scenario. The obtained results suggest a clear relationship between QoS and QoE. This chapter aims to present a detailed description about the process to perform comparative quality evaluations of multimedia services from both QoS and QoE perspectives.

scholarly journals Measurement of Objective Video Quality in Social Cloud Based on Reference Metric

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Sajida Karim ◽  
Hui He ◽  
A. R. Junejo ◽  
Mariyam Sattar
Keyword(s):  
Quality Of Experience ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Research Work ◽  
Quality Analysis ◽  
Multimedia Services ◽  
Quality Degradation ◽  
Full Reference ◽  
Social Cloud

This paper explores the objective of the present video quality analysis (VQA) and measures the full reference metrics keeping in view the quality degradation. During the research work, we conduct experiments on different social clouds (SCs) and low-quality videos. Selected videos are uploaded to SC to assess differences in video service and quality. WeChat shows that the average of all videos (Avg = 100), peak signal-to-noise ratio (PSNR), has no impact on other indicators. Therefore, we believe that WeChat provides the best video quality and multimedia services to their users to meet Quality of Service (QoS)/Quality of Experience (QoE).

Optimizing User Quality of Experience through Overlay Routing, Bandwidth Management and Dynamic Trans-Coding

2010 ◽  
Vol 1 (2) ◽  
pp. 64-85 ◽  
Author(s):  
Maarten Wijnants ◽  
Wim Lamotte ◽  
Bart De Vleeschauwer ◽  
Filip De Turck ◽  
Bart Dhoedt ◽  
...  
Keyword(s):  
Packet Loss ◽  
Quality Of Experience ◽  
Multimedia Data ◽  
Effective Bandwidth ◽  
Bandwidth Management ◽  
Multimedia Services ◽  
Overlay Routing ◽  
Last Mile ◽  
Time Critical

Accessing multimedia services via fixed and wireless networks has become common practice. These services are typically much more sensitive to packet loss, delay and/or congestion than traditional services. In particular, multimedia data is often time critical and, as a result, network issues are not well tolerated and significantly deteriorate the user’s Quality of Experience (QoE). Therefore, the authors propose a QoE optimization platform that is able to mitigate problems that might occur at any location in the delivery path from service provider to customer. More specifically, the distributed architecture supports overlay routing to circumvent erratic parts of the network core. In addition, it comprises proxy components that realize last mile optimization through automatic bandwidth management and the application of processing on multimedia flows. This paper introduces a trans-coding service for this proxy component which enables the transformation of H.264/AVC video flows to an arbitrary bitrate. Through representative experimental results, the authors illustrate how this addition enhances the QoE optimization capabilities of the proposed platform by allowing the proxy component to compute more flexible and effective bandwidth distributions.

scholarly journals Proposed Approach for Enhancement of QoE to Support e-Society

2016 ◽  
Vol 2 (3) ◽  
pp. 534
Author(s):  
Sufyan T. Al-Janabi ◽  
Dana Kareem Hama Ghareeb
Keyword(s):  
System Performance ◽  
Quality Of Experience ◽  
Loss Rate ◽  
Performance Metrics ◽  
Service Providers ◽  
Multimedia Services ◽  
Subjective Satisfaction ◽  
Objective System ◽  
Media Applications

In recent years, multimedia services and social media applications have become extremely popular as they have been accessed by laptop computers and mobile devices. These can be considered as basic communications functionalities required for building e-society. The heterogeneity of hardware capabilities and network environments result in big challenges for service providers in always providing users with a satisfying experience. The meaning of Quality of Experience (QoE) reflects the degree of a user’s subjective satisfaction, which can be different from the Quality of Service (QoS) concept as QoS is solely related to objective system performance metrics, such as the bandwidth, delay, and loss rate. In this work, we propose a general approach for improving QoE through QoS such as to support various e-society applications and services. Various models and parameters related to this issue are reviewed. The proposal represents a framework that considers different aspects such as classification, marking, routing, and queuing to achieve better controlling of relative QoS parameters.

scholarly journals New Recommendation for Subjective Video Quality Assessment Methods for Recognition Tasks

2021 ◽  
Author(s):  
Mikołaj Leszczuk ◽  
Lucjan Janowski
Keyword(s):  
Quality Of Experience ◽  
Target Recognition ◽  
Video Quality ◽  
Service Performance ◽  
Visual Performance ◽  
Subjective Test ◽  
Multimedia Services ◽  
Objective Quality ◽  
High Level

It was once thought that high QoS (Quality of Service) performance solves recurrent problems of low-quality multimedia services. Since then, solutions have been proposed to ensure a high level of QoE (Quality of Experience). In this document, the authors attempt to outline their understanding of an accurate meaning of quality of multimedia services. Starting from QoS and passing through generalised QoE, the authors focus on aspects of subjective and objective quality modelling and optimisation of visual performance for TRV (Target Recognition Video) applications (such as video surveillance), outlining the path of ITU-T standardisation in this area. The authors revised the ITU-T Recommendation P.912 to reflect improved subjective test techniques developed since this Recommendation was approved. The authors also attempt to predict at least some existing errors of reasoning, which are likely to become evident for the industry in the next decade.

scholarly journals The Quality of Video Communication in Encrypted Traffic

2020 ◽  
Vol 50 (4) ◽  
pp. 165-180
Author(s):  
Piotr Łubkowski ◽  
Dariusz Laskowski
Keyword(s):  
Video Transmission ◽  
Quality Of Experience ◽  
Instant Messaging ◽  
Rapid Development ◽  
Multimedia Services ◽  
Communication Services ◽  
Internet Resources ◽  
Encrypted Traffic ◽  
The Impact

AbstractThe rapid development of network and computer technologies creates opportunities for offering advanced broadband multimedia services to a growing number of end users. Instant messaging and group communication services based on real-time video transmission based on global Internet resources are the most popular. The basic challenge related to the implementation of video transmission services is to ensure an appropriate level of quality and security (Quality & Security). The article presents a multi-criteria assessment of the impact of encryption protocols for multimedia video transmissions on the perceived quality of QoE (Quality of Experience) service implementation. The presented measurement method together with the proposed research methodology create the possibility of determining the likelihood of video service availability with accepted QoE in heterogeneous networks.

QoE Prediction for Multimedia Services

2014 ◽  
Vol 4 (3) ◽  
pp. 44-64 ◽  
Author(s):  
Natalia Kushik ◽  
Jeevan Pokhrel ◽  
Nina Yevtushenko ◽  
Ana Cavalli ◽  
Wissam Mallouli
Keyword(s):  
Fuzzy Logic ◽  
Expert Systems ◽  
Quality Of Experience ◽  
Logic Circuit ◽  
Experimental Results ◽  
Learning Approaches ◽  
Multimedia Services ◽  
Prediction Ability ◽  
Self Learning

This paper is devoted to the problem of evaluating the quality of experience (QoE) for a given multimedia service based on the values of service parameters such as QoS indicators. This paper proposes to compare two self learning approaches for predicting the QoE index, namely the approach based on logic circuit learning and the approach based on fuzzy logic expert systems. Experimental results for comparing these two approaches with respect to the prediction ability and the performance are provided.

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