Dynamic bayesian networks for sequential quality of experience modelling and measurement

Authors:
Karan Mitra;Arkady Zaslavsky;Christer Åhlund
Affiliations:
Caulfield School of Information Technology, Monash University, Victoria, Australia and Luleå University of Technology, Luleå, Sweden;Caulfield School of Information Technology, Monash University, Victoria, Australia and Luleå University of Technology, Luleå, Sweden;Luleå University of Technology, Luleå, Sweden
Venue:
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
Year:
2011

Citing 13
Cited 0

A tutorial on learning with Bayesian networks

Proceedings of the NATO Advanced Study Institute on Learning in graphical models
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach
Means and Methods for Collecting and Analyzing QoE Measurements in Wireless Networks

WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Does context matter in quality evaluation of mobile television?

Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
A learner, is a learner, is a user, is a customer: QoS-based experience-aware adaptation

MM '08 Proceedings of the 16th ACM international conference on Multimedia
Quality of experience in distributed interactive multimedia environments: toward a theoretical framework

MM '09 Proceedings of the 17th ACM international conference on Multimedia
Speech quality while roaming in next generation networks

ICC'09 Proceedings of the 2009 IEEE international conference on Communications
User measures of quality of experience: why being objective and quantitative is important

IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
Measuring the dynamics of remembered experience over time

Interacting with Computers
Proposed framework for evaluating quality of experience in a mobile, testbed-oriented living lab setting

Mobile Networks and Applications
A probabilistic context-aware approach for quality of experience measurement in pervasive systems

Proceedings of the 2011 ACM Symposium on Applied Computing
An approach to data fusion for context awareness

CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
A decision-theoretic approach for quality-of-experience measurement and prediction

ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel context-aware methodology for modelling and measuring user-perceived quality of experience (QoE) over time. In particular, we create a context-aware model for QoE modelling and measurement using dynamic Bayesian networks (DBN) and a context-aware state-space approach. The proposed model is then used to infer and determine users' QoE in a sequential manner. We performed experimentation to validate the proposed model. The results prove that it can efficiently model, reason and measure QoE of the users'.