Subjective Evaluation of User Quality of Experience for Omnidirectional Video Streaming

Mrvelj, Štefica; Matulin, Marko; Martirosov, Sergo

doi:10.7307/ptt.v32i3.3444

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…In addition, it is noteworthy that there may be subtle differences of perception of satisfaction between the real world and in watching VR video recording. For example, participants might grade their experience higher due to the "wow factor", particularly during their first use of VR [43]. In addition, the samples of participants which have a high level of discomfort due to sensitivity to a 360 degree perspective during the VR survey should be deleted.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Satisfaction in Shared Lanes as Part of Sustainable Transport Infrastructure by Using VR Technology – Evidence from Urban China

2021

PROMET

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The concept of sharing transport infrastructure has become increasingly prominent in the sustainable society due to limited resources in urban cities. Shared lanes where cars, electric motorcycles, and bicycles are permitted have been promoted in urban China to overcome the shortage of road space available to meet the increasing traffic demand. Based on VR video and questionnaire survey, this study has identified that the levels of satisfaction of drivers, e-motorcyclists, and cyclists are associated with the factors of traffic condition and lane characteristics among various shared lanes. Based on the analysis of data by a multinomial ordered logistic regression model, the major findings of this study are summarised as follows: (1) Satisfaction was mainly affected by lane width, lane number, lane type, and presence of parking space in the driver group. (2) Lane width, lane number, lane type, presence of parking space, speed, and lateral separation were the main factors in the e-motorcyclist group. (3) For the group of cyclists, lane width, lane number, presence of slope, presence of parking space, speed, and lateral separation were identified as the main factors. Our study will help local government officials to design more effective sustainable transport infrastructures.

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Section: Discussionmentioning

confidence: 99%

Evaluating Satisfaction in Shared Lanes as Part of Sustainable Transport Infrastructure by Using VR Technology – Evidence from Urban China

2021

PROMET

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“…Factors influencing QoE can be divided into technical and nontechnical [7]. Technical are factors connected to terminals and networks, and nontechnical are factors that are connected to politics and services provided by cellular operators.…”

Section: General Methods For Qoe and Qos Definitionmentioning

confidence: 99%

Method for QOE monitoring and increasing in cellular networks based on QOE-to-QOS mapping using spline approximation

Al-Azzeh

Одарченко²,

Abakumova

et al. 2022

J Wireless Com Network

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The current level of development of the cellular services market, qualitative changes in the means and methods of providing services, and the increased volume and diversity of information circulating in cellular networks have evoked the need for service quality assessment system improvement. To maintain competitiveness, the main efforts of operators are aimed at improving quality and increasing the service life of subscribers in the network by ensuring the required level of customer satisfaction in high-quality services through a system of organizational–technical and socioeconomic measures to bring the achieved level of quality-of-service (QoS) provision in accordance with the existing, emerging, or projected needs of subscribers. To achieve improved QoS provision, a functional relationship between network parameters has been established: The impact of key performance indicators on a key quality indicator through the use of cubic Hermitian splines (CHS) has been determined. The use of splines, as a signal model, can significantly improve the quality of signal processing due to the continuity of values and partial derivatives in the joints of spline gluing. CHS are characterized by calculation simplicity, as they provide high-speed computing, which, in turn, is important for real-time work when processing large data sets. Experimentally, it was shown that the use of splines allows for the ability to calculate statistical estimates of the required parameters of spline approximations, but also their confidence intervals, which increases the accuracy and probability of further calculations and is a distinct advantage of this approach. Also, the methods of service quality management through machine learning have been improved, which are effective tools for modeling integrated indicators of communication services quality control, monitoring their condition in terms of final copies of services, determining the causes of degradation, and reporting. It monitors the service performance provided by the cellular operator. Finally, the method checks the readiness and availability of services, detects network nodes through which quality degradation occurs, collects various quality metrics, and compares them with pre-installed quality indicators.

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“…QoE foresees complex psychological and physiological factors [3]. When the question is about service provider or about some concrete network productivity, QoE belongs to end-user satisfaction ( Factors influencing QoE can be divided into technical and nontechnical [5]. Technical are factors connected to terminals and networks, and nontechnical are factors that are connected to politics and services provided by cellular operators.…”

Section: -Introductionmentioning

confidence: 99%

Method for Monitoring and Increasing the Quality of Experience in Cellular Networks Based on Interconnections Between Key Quality Indicators Using Spline-Approximation

Al-Azzeh

Одарченко²,

Abakumova

et al. 2020

Preprint

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Sustainable and balanced development of the communications industry is inextricably linked with increasing numbers of subscribers and services provided. The current level of development of the cellular services market, qualitative changes in the means and methods of providing services, and the increased volume and diversity of information circulating in cellular networks have evoked the need for service quality assessment system improvement. To maintain competitiveness, the main efforts of operators are aimed at improving quality and increasing the service life of subscribers in the network by ensuring the required level of customer satisfaction in high quality services through a system of organizational-technical and socio-economic measures to bring the achieved level of quality of service (QoS) provision in accordance with the existing, emerging, or projected needs of subscribers. These circumstances determine the relevance of the studied tasks related to the assessment and management of the quality of cellular services and the development of approaches to their solution.To achieve improved QoS provision, a functional relationship between network parameters has been established, i.e., the impact of key performance indicators on a key quality indicator through the use of cubic Hermitian splines (CHS) has been determined. The use of splines, as a signal model, can significantly improve the quality of signal processing due to the continuity of values and partial derivatives in the joints of spline gluing. CHS are characterized by calculation simplicity, as they provide high speed computing, which, in turn, is important for real time work when processing large data sets. Experimentally, it was shown that the use of splines allows for the ability to calculate statistical estimates of the required parameters of spline approximations, but also their confidence intervals, which increases the accuracy and probability of further calculations and is a distinct advantage of this approachThe methods of service quality management through machine learning have been improved, which are effective tools for modeling integrated indicators of communication services quality control, monitoring their condition in terms of final copies of services, determining the causes of degradation, and reporting. It monitors the service performance provided by the cellular operator. In addition, the method checks the readiness and availability of services, detects network nodes through which quality degradation occurs, collects various quality metrics, and compares them with pre-installed quality indicators.

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Subjective Evaluation of User Quality of Experience for Omnidirectional Video Streaming

Cited by 5 publications

References 20 publications

Evaluating Satisfaction in Shared Lanes as Part of Sustainable Transport Infrastructure by Using VR Technology – Evidence from Urban China

Evaluating Satisfaction in Shared Lanes as Part of Sustainable Transport Infrastructure by Using VR Technology – Evidence from Urban China

Method for QOE monitoring and increasing in cellular networks based on QOE-to-QOS mapping using spline approximation

Method for Monitoring and Increasing the Quality of Experience in Cellular Networks Based on Interconnections Between Key Quality Indicators Using Spline-Approximation

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