The Experts below are selected from a list of 463044 Experts worldwide ranked by ideXlab platform
Steve Manariyo - One of the best experts on this subject based on the ideXlab platform.
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NEW2AN - Quality of Experience Estimation for Video Service Delivery Based on SDN Core Network
Lecture Notes in Computer Science, 2017Co-Authors: Maria Makolkina, Ammar Muthanna, Steve ManariyoAbstract:Video traffic plays an increasingly important role in today’s telecommunication networks. Most services are difficult to imagine without video stream transmission, and it is not only IPTV and OTT services, but also the services of augmented reality that are gaining popularity. At the same time, users’ requirements for Quality of Experience provision are constantly tightened. Therefore, operators need to look for new ways to deliver video content to the user, which will allow the transfer of large amounts of traffic with the appropriate Quality of Experience. In this article, the possibilities of using SDN networks for the transmission of video traffic are investigated. For this purpose, we have created a laboratory testbed, which consists of a multimedia complex for the delivery of IPTV content and a SDN segment of the network. To estimate the Quality of Experience of the transmitted video traffic, we used, in addition to the generally accepted parameters, such as delays, losses, throughput, also the Hurst parameter.
Kjell Brunnström - One of the best experts on this subject based on the ideXlab platform.
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Quality of Experience of hand controller latency in a virtual reality simulator
electronic imaging, 2019Co-Authors: Kjell Brunnström, Mårten Sjöström, Elijs Dima, Mattias Andersson, Tahir Qureshi, Mathias JohansonAbstract:In this study, we investigate a VR simulator of a forestry crane used for loading logs onto a truck, mainly looking at Quality of Experience (QoE) aspects that may be relevant for task completion, ...
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HVEI - Quality of Experience of hand controller latency in a virtual reality simulator
2019Co-Authors: Kjell Brunnström, Mårten Sjöström, Elijs Dima, Mattias Andersson, Tahir Naseer Qureshi, Mathias JohansonAbstract:In this study, we investigate a VR simulator of a forestry crane used for loading logs onto a truck, mainly looking at Quality of Experience (QoE) aspects that may be relevant for task completion, ...
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HVEI - Quality of Experience for a Virtual Reality simulator.
Electronic Imaging, 2018Co-Authors: Kjell Brunnström, Mårten Sjöström, Muhammad Imran, Magnus Pettersson, Mathias JohansonAbstract:In this study, we investigate a VR simulator of a forestry crane used for loading logs onto a truck, mainly looking at Quality of Experience (QoE) aspects that may be relevant for task completion, ...
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Quality of Experience - Factors Influencing Quality of Experience
Quality of Experience, 2014Co-Authors: Ulrich Reiter, Junyong You, Manuela Pereira, Mohamed-chaker Larabi, Katrien De Moor, Kjell Brunnström, Antonio M. G. Pinheiro, Andrej ZgankAbstract:In this chapter different factors that may influence Quality of Experience (QoE) in the context of media consumption, networked services, and other electronic communication services and applications, are discussed. QoE can be subject to a range of complex and strongly interrelated factors, falling into three categories: human, system and context influence factors (IFs). With respect to Human IFs, we discuss variant and stable factors that may potentially bear an influence on QoE, either for low-level (bottom-up) or higher-level (top-down) cognitive processing. System IFs are classified into four distinct categories, namely content-, media-, network- and device-related IFs. Finally, the broad category of possible Context IFs is decomposed into factors linked to the physical, temporal, social, economic, task and technical information context. The overview given here illustrates the complexity of QoE and the broad range of aspects that potentially have a major influence on it.
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3D Video Quality of Experience - Influence of Scale and Crosstalk Invited
2014Co-Authors: Kjell Brunnström, Kun Wang, Börje Andrén, Valentin Kulyk, Samira Tavakoli, Christer Hedberg, Indirajith Vijai Ananth, Mahir Hussein, Mats Folkesson, Marcus BarkowskyAbstract:This paper gives an overview of three recent studies by the authors on the topic of 3D video Quality of Experience (QoE). Two of studies [1,2] investigated different psychological dimension that ma ...
Maria Makolkina - One of the best experts on this subject based on the ideXlab platform.
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NEW2AN - Quality of Experience Estimation for Video Service Delivery Based on SDN Core Network
Lecture Notes in Computer Science, 2017Co-Authors: Maria Makolkina, Ammar Muthanna, Steve ManariyoAbstract:Video traffic plays an increasingly important role in today’s telecommunication networks. Most services are difficult to imagine without video stream transmission, and it is not only IPTV and OTT services, but also the services of augmented reality that are gaining popularity. At the same time, users’ requirements for Quality of Experience provision are constantly tightened. Therefore, operators need to look for new ways to deliver video content to the user, which will allow the transfer of large amounts of traffic with the appropriate Quality of Experience. In this article, the possibilities of using SDN networks for the transmission of video traffic are investigated. For this purpose, we have created a laboratory testbed, which consists of a multimedia complex for the delivery of IPTV content and a SDN segment of the network. To estimate the Quality of Experience of the transmitted video traffic, we used, in addition to the generally accepted parameters, such as delays, losses, throughput, also the Hurst parameter.
Ammar Muthanna - One of the best experts on this subject based on the ideXlab platform.
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NEW2AN - Quality of Experience Estimation for Video Service Delivery Based on SDN Core Network
Lecture Notes in Computer Science, 2017Co-Authors: Maria Makolkina, Ammar Muthanna, Steve ManariyoAbstract:Video traffic plays an increasingly important role in today’s telecommunication networks. Most services are difficult to imagine without video stream transmission, and it is not only IPTV and OTT services, but also the services of augmented reality that are gaining popularity. At the same time, users’ requirements for Quality of Experience provision are constantly tightened. Therefore, operators need to look for new ways to deliver video content to the user, which will allow the transfer of large amounts of traffic with the appropriate Quality of Experience. In this article, the possibilities of using SDN networks for the transmission of video traffic are investigated. For this purpose, we have created a laboratory testbed, which consists of a multimedia complex for the delivery of IPTV content and a SDN segment of the network. To estimate the Quality of Experience of the transmitted video traffic, we used, in addition to the generally accepted parameters, such as delays, losses, throughput, also the Hurst parameter.
Markus Fiedler - One of the best experts on this subject based on the ideXlab platform.
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Quality of Experience: From Assessment to Application (Dagstuhl Seminar 15022)
2015Co-Authors: Katrien De Moor, Markus Fiedler, Peter Reichl, Martin VarelaAbstract:This report provides an overview of the program, discussions and outcomes of Dagstuhl Seminar 15022 "Quality of Experience: From Assessment to Application", which took place from 4 - 7 January 2015 at Schloss Dagstuhl - Leibniz Center for Informatics. The seminar and the challenges that were addressed have their roots in the earlier Dagstuhl Seminars 09192 "From Quality of Service to Quality of Experience" and 12181 "Quality of Experience: From User Perception to Instrumental Metrics". The main goal of the seminar was to strengthen and go beyond the current understanding on Quality of Experience (QoE) and its assessment, in order to start tackling the logical yet highly challenging next steps: to move from assessment to application and to translate insights on QoE and knowledge from this research field into forms of economic and/or societal value. This report contains the personal statements and main challenges brought forward by the participants, who were on the fly clustered into six main discussion topics. We here report on the discussions and outcomes from the group work, organized around these bottom-up generated topics: "QoE theory and modeling", "QoE methodologies", "User factors and QoE", "QoE management", "Monetization of QoE" and "QoE in new domains".
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Quality of Experience hourglass model
2013 International Conference on Computing, Management and Telecommunications, ComManTel 2013, 2013Co-Authors: Tahir Nawaz Minhas, Markus FiedlerAbstract:Recently, user perception has been receiving increas- ingly much attention of service providers, operators, manufac- tures and researchers. They are interested to know how the users perceive the Quality of multimedia streaming services. To avoid the fatigue of subjective testing, they are interested to model the Quality of Experience (QoE) based on Quality of Service (QoS) and other measurable parameters. However, these parameters to estimate the QoE may differ per service. In this paper, we propose a conceptual model of QoE in parallel with the classical internet architecture hourglass model. Moreover conditions are highlighted under which QoE can be evaluated objectively from QoS without entailing other factors. The main is goal to understand the factors that are playing a significant role for QoE. We also discuss and explain the role of the application on QoE.
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Quality of Experience from user perception to instrumental metrics dagstuhl seminar 12181
Quality of Experience: From User Perception to Instrumental Metrics (Dagstuhl Seminar 12181), 2012Co-Authors: Markus Fiedler, Sebastian Möller, Peter ReichlAbstract:This report documents the program and the outcomes of Dagstuhl Seminar 12181 "Quality of Experience: From User Perception to Instrumental Metrics". As follow-up of the Dagstuhl Seminar 09192 "From Quality of Service to Quality of Experience", it focused on the further development of an agreed definition of the term Quality of Experience (QoE) in collaboration with the COST Action IC1003 "Qualinet", as well as inventories of possibilities to measure QoE (beyond the usual user polls) and to exploit feedback between users and systems that reflects QoE issues. The report furthermore describes the mode of work throughout the seminar, with focus on personal statements by the participants, results of the group works, and open challenges.
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Estimation of Quality of Experience in 3G Networks with the Mahalanobis Distance
2011Co-Authors: Karel De Vogeleer, Markus Fiedler, Selim Ickin, David Erman, Adrian PopescuAbstract:Quality of Experience is a parameter used to express the relationship between Quality of Service and the satisfaction of network service subscribers. The modeling of Quality of Experience demands for solving a multidimensional problem. In this paper, we present a Quality of Experience analysis of streaming videos. Related to this, we show that we can reduce the dimensions of the Quality of Experience modeling with the help of Principle Component Analysis techniques. We demonstrate that for our data set the Zero Throughput Time and the Packet Delay Variation are enough to get a picture of the state of the network. We further calculate the Mahalanobis distance to analyze the outliers in the data set. We illustrate that for our data set the 97.5% quantile for the Mahalanobis distance is a good threshold that indicates low user perception. We also advocate the use of robust statistics in the analysis of Quality of Experience as we are dealing with contaminated data sets.
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Quality of Experience
Annales Des Télécommunications, 2010Co-Authors: Markus Fiedler, Helmut Hlavacs, Klaus D. Hackbarth, Patrik ArlosAbstract:During the recent years, we have observed a significant growth in offers, varieties, and uses of network-based services. This was amongst others enabled by a growing multitude of access networks combined with usage-friendly pricing schemes. However, the conditions for providing this access vary between, and also within, regions of this planet. As a consequence, potential users become victims of the “Digital Divide”, therefore being excluded from beneficial use of Information Communication Technology (ICT) services. Consequently, socio-economic-technical aspects and scenarios need to be researched in order to reduce the “Digital Divide”. Research within ICT is still quite technology oriented, and often neglects the important window towards the end user who wants to “get the most out of it” when using and paying for services. In particular, in this special issue, we address Quality of Experience (QoE) on one side and— mostly economical—terms of use on the other side. If a user does not feel that (s)he is getting “value for money”, i.e., good-enough QoE for what (s)he is paying for, (s)he might be ready to abandon the particular service provider and/or network operator in question. We are thus facing a Qualityand economy-related type of “Digital Divide”. Obviously, Quality and economy form important enablers for successful service provisioning, which require a careful investigation and evaluation of behaviors, conditions, and capabilities at the border between user and technology. In this context, the notion and topic of QoE increasingly attracts the attention of manufacturers, operators, and researchers. It links user perception and expectations on one side and technical Quality of Service parameters, management, pricing schemes, etc., on the other side. Such links are needed in order to balance user satisfaction and economic aspects of service provisioning. However, the notion of QoE as such is not without controversy. Technicians, used to a world of objective and clearly definable parameters, tend to fear the subjective, somehow fuzzy parts associated with end-user perception. Vice versa, customer relationship and marketing departments might find themselves uncomfortable with technical parameters which might not reflect the user perception in some tense situations. Nevertheless, appearance and utility of a networked service depend on the underlying technical solutions and their performance. Furthermore, legal and pricing issues need to be addressed, which also implies resource trading and dimensioning. The first volume of this Special Issue on Quality of Experience and Socio-Economic Issues of Network-Based Services is devoted to the topic of QoE metrics and performance evaluation, ranging from the application to the network level. M. Fiedler (*) Blekinge Institute of Technology, Karlskrona, Sweden e-mail: markus.fiedler@bth.se
