Online QoE prediction

2010 2nd International Workshop on Quality of Multimedia Experience, QoMEX 2010 - Proceedings

Volumn , Issue , 2010, Pages 118-123

  Menkovski, Vlado ^a   Exarchakos, Georgios ^a   Liotta, Antonio ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Machine learning; Online learning; QoE; Quality of experience

Indexed keywords

APRIORI; CUSTOMER FEEDBACK; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; MULTIMEDIA CONTENTS; ONLINE LEARNING; PERCEIVED QUALITY; PREDICTION MODEL; QOE; QUALITY OF EXPERIENCES; QUALITY OF SERVICE METRICS; SERVICE EXECUTION; USER EXPECTATIONS; USER FEEDBACK; VIEWING CONDITIONS;

E-LEARNING; FORECASTING; LEARNING SYSTEMS; MATHEMATICAL MODELS;

QUALITY OF SERVICE;

EID: 77955766845     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/QOMEX.2010.5517692     Document Type: Conference Paper

References (21)

1. S. Winkler, Video Quality and Beyond, Symmetricom, 2007.
2. A. Takahashi, D. Hands, and V. Barriac, "Standardization activities in the ITU for a QoE assessment of IPTV," Communications Magazine, IEEE, vol. 46, 2008, pp. 78-84.
3. S. Winkler, Digital video quality : vision models and metrics, Chichester West Sussex ;;Hoboken NJ: J. Wiley & Sons, 2005.
4. M. Siller and J. Woods, "QoS arbitration for improving the QoE in multimedia transmission," Visual Information Engineering, 2003. VIE 2003. International Conference on, 2003, pp. 238-241.
5. F. Agboma and A. Liotta, "QoE-aware QoS management," Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia, Linz, Austria: ACM, 2008, pp. 111-116.
6. F. Agboma, "Quality of Experience Management in Mobile Content Delivery Systems," Department of Computing and Electronic Systems, University of Essex, 2009.
7. V. Menkovski, A. Oredope, A. Liotta, and A. Cuadra Sánchez, "Optimized online learning for QoE prediction," 2009.
8. V. Menkovski, A. Oredope, A. Liotta, and A. Cuadra Sánchez, "Predicting Quality of Experience in Multimedia Streaming," Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia, Kuala Lumpur, Malaysia: 2009, pp. 52-59.
9. J. Quinlan, "Induction of Decision Trees," Machine Learning, vol. 1, Mar. 1986, pp. 81-106.
10. J.R. Quinlan, C4. 5: programs for machine learning, Morgan Kaufmann, 2003.
11. P. Domingos and G. Hulten, "Mining high-speed data streams," Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000, pp. 71-80.
12. R. Kohavi and C. Kunz, "Option Decision Trees with Majority Votes," Proceedings of the Fourteenth International Conference on Machine Learning, Morgan Kaufmann Publishers Inc., 1997, pp. 161-169.
13. B. Pfahringer, G. Holmes, and R. Kirkby, "New Options for Hoeffding Trees," AI 2007: Advances in Artificial Intelligence, 2007, pp. 90-99.
14. L. Breiman, "Bagging predictors," Machine learning, vol. 24, 1996, pp. 123-140.
15. N.C. Oza and S. Russell, "Online bagging and boosting," Artificial Intelligence and Statistics, 2001, pp. 105-112.
16. F. Agboma and A. Liotta, "Addressing user expectations in mobile content delivery," Mobile Information Systems, vol. 3, Jan. 2007, pp. 153-164.
17. G.T. Fechner, E.G. Boring, H.E. Adler, and D.H. Howes, Elements of psychophysics / Translated by Helmut E. Adler ; Edited by David H. Howes [and] Edwin G. Boring ; with an introd. by Edwin G. Boring, New York :: Holt, Rinehart and Winston, 1966.
18. R.I. ITU-T, "910," Subjective video quality assessment methods for multimedia applications, 1999.
19. A. Bifet, G. Holmes, B. Pfahringer, R. Kirkby, and R. Gavaldà, "New ensemble methods for evolving data streams," Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 2009, pp. 139-148.
20. I.H. Witten and E. Frank, Data mining, Morgan Kaufmann, 2005.
21. R. Kohavi, "A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection," IJCAI, 1995, pp. 1137-1145.