scholarly journals Quality of Experience management framework for real-time multimedia applications

2009 ◽  
Vol 4 (1) ◽  
pp. 54 ◽  
Author(s):  
N.A. Mu ◽  
Eduardo Cerqueira ◽  
Fernando Boavida ◽  
Andreas Mauthe
Keyword(s):  
Real Time ◽  
Quality Of Experience ◽  
Multimedia Applications ◽  
Management Framework

What's my App?

2021 ◽  
Vol 48 (4) ◽  
pp. 41-44
Author(s):  
Dena Markudova ◽  
Martino Trevisan ◽  
Paolo Garza ◽  
Michela Meo ◽  
Maurizio M. Munafo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Natural Language Processing ◽  
Real Time ◽  
Language Processing ◽  
Traffic Management ◽  
Quality Of Experience ◽  
Broadband Internet ◽  
Management Policies ◽  
Control Traffic

With the spread of broadband Internet, Real-Time Communication (RTC) platforms have become increasingly popular and have transformed the way people communicate. Thus, it is fundamental that the network adopts traffic management policies that ensure appropriate Quality of Experience to users of RTC applications. A key step for this is the identification of the applications behind RTC traffic, which in turn allows to allocate adequate resources and make decisions based on the specific application's requirements. In this paper, we introduce a machine learning-based system for identifying the traffic of RTC applications. It builds on the domains contacted before starting a call and leverages techniques from Natural Language Processing (NLP) to build meaningful features. Our system works in real-time and is robust to the peculiarities of the RTP implementations of different applications, since it uses only control traffic. Experimental results show that our approach classifies 5 well-known meeting applications with an F1 score of 0.89.

Optimizing the Perceptual Quality of Real-Time Multimedia Applications

2015 ◽  
Vol 22 (4) ◽  
pp. 14-28 ◽  
Author(s):  
Jingxi Xu ◽  
Benjamin W. Wah
Keyword(s):  
Real Time ◽  
Multimedia Applications ◽  
Perceptual Quality

Quality of experience during psychosocial rehabilitation: A real-time investigation with experience sampling method.

2012 ◽  
Vol 35 (6) ◽  
pp. 447-453 ◽  
Author(s):  
Marta Bassi ◽  
Nicoletta Ferrario ◽  
Gabriella Ba ◽  
Antonella Delle Fave ◽  
Caterina Viganò
Keyword(s):  
Real Time ◽  
Quality Of Experience ◽  
Sampling Method ◽  
Psychosocial Rehabilitation ◽  
Experience Sampling ◽  
Experience Sampling Method

scholarly journals An Adaptive Bitrate Switching Algorithm for Speech Applications in Context of WebRTC

2021 ◽  
Vol 17 (4) ◽  
pp. 1-21
Author(s):  
Mohannad Alahmadi ◽  
Peter Pocta ◽  
Hugh Melvin
Keyword(s):  
Real Time ◽  
Data Exchange ◽  
Quality Of Experience ◽  
End User ◽  
High Quality ◽  
Content Type ◽  
Switching Algorithm ◽  
Wide Range ◽  
The Impact

Web Real-Time Communication (WebRTC) combines a set of standards and technologies to enable high-quality audio, video, and auxiliary data exchange in web browsers and mobile applications. It enables peer-to-peer multimedia sessions over IP networks without the need for additional plugins. The Opus codec, which is deployed as the default audio codec for speech and music streaming in WebRTC, supports a wide range of bitrates. This range of bitrates covers narrowband, wideband, and super-wideband up to fullband bandwidths. Users of IP-based telephony always demand high-quality audio. In addition to users’ expectation, their emotional state, content type, and many other psychological factors; network quality of service; and distortions introduced at the end terminals could determine their quality of experience. To measure the quality experienced by the end user for voice transmission service, the E-model standardized in the ITU-T Rec. G.107 (a narrowband version), ITU-T Rec. G.107.1 (a wideband version), and the most recent ITU-T Rec. G.107.2 extension for the super-wideband E-model can be used. In this work, we present a quality of experience model built on the E-model to measure the impact of coding and packet loss to assess the quality perceived by the end user in WebRTC speech applications. Based on the computed Mean Opinion Score, a real-time adaptive codec parameter switching mechanism is used to switch to the most optimum codec bitrate under the present network conditions. We present the evaluation results to show the effectiveness of the proposed approach when compared with the default codec configuration in WebRTC.

Quality of Service Monitoring, Diagnosis, and Adaptation for Service Level Management

2011 ◽  
pp. 41-58
Author(s):  
Guijun Wang ◽  
Changzhou Wang ◽  
Haiqin Wang ◽  
Rodolfo A. Santiago ◽  
Jingwen Jin ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Service Level ◽  
Management Framework ◽  
Qos Management ◽  
Service Monitoring ◽  
Service Level Management ◽  
Qos Monitoring ◽  
Monitoring Service

A key requirement in Service Level Management (SLM) is managing the Quality of Services (QoS) demanded by clients and offered by providers. This managing process is complicated by the globalization and Internet scale of enterprise services and their compositions. This chapter presents two contributions to the QoS management task for SLM. First, instead of considering monitoring as an isolated service, it incorporates a monitoring service as an integral part of a comprehensive QoS management framework for SLM. Second, it includes a diagnosis service as an integral part of the QoS management framework. Using the data fed from monitoring service, diagnosis service detects system condition changes and reasons about the causes of detected degradation in networked enterprise system. With condition detection and situation understanding, the QoS management framework can then proactively activate adaptation mechanisms to maximize the system’s ability to meet QoS contract requirements of concurrent clients. Using this framework, enterprise systems can provide real time automated QoS management to optimize system resources in meeting contract requirements. This approach is validated using QoS management services integrated in a publish/subscribe style of SOA. Benefits of QoS monitoring, diagnosis, and adaptation services for responsiveness SLM are demonstrated via experiments.

scholarly journals On the influence of individual differences in cross-modal Mulsemedia QoE

2020 ◽  
Author(s):  
Elahe Kani-Zabihi ◽  
Nadia Hussain ◽  
Gebremariam Mesfin ◽  
Alexandra Covaci ◽  
Gheorghita Ghinea
Keyword(s):  
Individual Differences ◽  
Quality Of Experience ◽  
Multimedia Applications ◽  
Gender Education ◽  
Multiple Media ◽  
Human Side

Abstract Quality of Experience (QoE) is inextricably linked to the human side of the multimedia experience. Whilst there has been a considerable amount of research undertaken to explore the various dimensions of QoE, one facet which been relatively unexplored is the role of individual differences in determining an individual’s QoE. Whereas this is certainly true of multimedia applications, when it comes to mulsemedia (multiple media engaging three or more human senses) this is even more so, given its emerging and novel nature. Accordingly, in this paper we report the results of a study which investigated the role that individual differences (such as age, gender, education, and smell sensitivity) have on QoE, when mulsemedia incorporating olfactory and haptic stimuli is experienced in cross-modal environments. Our results reveal that whilst users had a satisfying overall mulsemedia experience the specific use of cross modally matched odours did not result in significantly higher QoE levels than when a control scent (rosemary) was employed. However, aspects of QoE are impacted upon by all individual differences dimensions considered in our study.

scholarly journals Guest editorial special issue on quality of experience for multimedia applications

2012 ◽  
Vol 61 (3) ◽  
pp. 697-701
Author(s):  
Mikołaj I. Leszczuk ◽  
Eduardo Cerqueira ◽  
Marília Curado ◽  
Andreas Mauthe ◽  
Sherali Zeadally
Keyword(s):  
Quality Of Experience ◽  
Guest Editorial ◽  
Multimedia Applications ◽  
Special Issue ◽  
Editorial Special Issue
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