Table of Contents Author Guidelines Submit a Manuscript
Advances in Multimedia
Volume 2016 (2016), Article ID 1730814, 17 pages
http://dx.doi.org/10.1155/2016/1730814
Research Article

Nonintrusive Method Based on Neural Networks for Video Quality of Experience Assessment

Engineering Department, Universidad de Antioquia, Medellín, Colombia

Received 11 August 2015; Revised 4 December 2015; Accepted 17 December 2015

Academic Editor: Stefanos Kollias

Copyright © 2016 Diego José Luis Botia Valderrama and Natalia Gaviria Gómez. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L.-Y. Liu, W.-A. Zhou, and J.-D. Song, “The research of quality of experience evaluation method in pervasive computing environment,” in Proceedings of the 1st International Symposium on Pervasive Computing and Applications, pp. 178–182, IEEE, Urumqi, China, August 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Mohseni, “Driving Quality of Experience in mobile content value chain,” in Proceedings of the 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST '10), pp. 320–325, Dubai, United Arab Emirates, April 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. A. Devlic, P. Kamaraju, P. Lungaro, Z. Segall, and K. Tollmar, “Towards QoE-aware adaptive video streaming,” in Proceedings of the IEEE/ACM International Symposium on Quality of Service, Portland, Ore, USA, February 2015, http://people.kth.se/~devlic/publications/IWQoS15.pdf.
  4. S. Winkler, “Standardizing quality measurement for video services,” IEEE COMSOC MMTC E-Letter, vol. 4, no. 9, 2009. View at Google Scholar
  5. S. Winkler, “Video quality measurement standards—current status and trends,” in Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ICICS '09), Macau, China, December 2009. View at Publisher · View at Google Scholar
  6. K. Seshadrinathan and A. C. Bovik, “Motion tuned spatio-temporal quality assessment of natural videos,” IEEE Transactions on Image Processing, vol. 19, no. 2, pp. 335–350, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  7. H. R. Sheikh and A. C. Bovik, “Image information and visual quality,” IEEE Transactions on Image Processing, vol. 15, no. 2, pp. 430–444, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. A. K. Moorthy and A. C. Bovik, “A motion compensated approach to video quality assessment,” in Proceedings of the 43rd Asilomar Conference on Signals, Systems and Computers, pp. 872–875, Pacific Grove, Calif, USA, November 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. K. Radhakrishnan and L. Hadi, “A study on QoS of VoIP networks: a random neural network (RNN) approach,” in Proceedings of the Spring Simulation Multiconference (SpringSim '10), Society for Computer Simulation International, Orlando, Fla, USA, April 2010.
  10. S. Winkler and P. Mohandas, “The evolution of video quality measurement: from psnr to hybrid metrics,” IEEE Transactions on Broadcasting, vol. 54, no. 3, pp. 660–668, 2008. View at Publisher · View at Google Scholar
  11. F. Boavida, E. Cerqueira, R. Chodorek et al., “Benchmarking the quality of experience of video streaming and multimedia search services: the content network of excellence,” in Proceedings of the 23rd National Symposium of Telecommunications and Teleinformatics (KSTiT '08), Institute of Telecommunication and Electrical Technologies of University of Technology and Life Sciences, Bydgoszcz, Poland, September 2008.
  12. P. Casas, A. Sackl, R. Schatz, L. Janowski, J. Turk, and R. Irmer, “On the quest for new KPIs in mobile networks: the impact of throughput fluctuations on QoE,” in Proceedings of the IEEE International Conference on Communication Workshop (ICCW '15), pp. 1705–1710, London, UK, June 2015. View at Publisher · View at Google Scholar
  13. M. Ries and J. R. Kubanek, “Video Quality Estimation for mobile streaming applications with neural networks,” in Proceedings of the Measurement of Speech and Audio Quality in Networks Workshop (MESAQIN '06), Prague, Czech Republic, June 2006.
  14. O. Nemethova, M. Ries, E. Siffel, and M. Rupp, “Quality assessment for H.264 coded low rate and low resolution video sequences,” in Proceedings of the IASTED International Conference on Communications, Internet and Information Technology (CIIT '04), pp. 136–140, St. Thomas, Virgin Islands, November 2004.
  15. D. Kuipers, R. Kooij, D. Vleeshauwer, and K. Brunnstrom, “Techniques for measuring quality of experience,” in Wired/Wireless Internet Communications, vol. 6074 of Lecture Notes in Computer Science, pp. 216–227, Springer, Berlin, Germany, 2010. View at Publisher · View at Google Scholar
  16. D. Botia, N. Gaviria, D. Jiménez, and J. M. Menéndez, “An approach to correlation of QoE metrics applied to VoD service on IPTV using a diffserv network,” in Proceedings of the 4th IEEE Latin-American Conference on Communications (IEEE LATINCOM '12), Cuenca, Ecuador, November 2012.
  17. Y. He, C. Wang, H. Long, and K. Zheng, “PNN-based QoE measuring model for video applications over LTE system,” in Proceedings of the 7th International ICST Conference on Communications and Networking in China (CHINACOM '12), pp. 58–62, Kunming, China, August 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. K. Kipli, M. Muhammad, S. Masra, N. Zamhari, K. Lias, and D. Azra, “Performance of Levenberg-Marquardt backpropagation for full reference hybrid image quality metrics,” in Proceedings of International Conference of Muti-Conference of Engineers and Computer Scientists (IMECS '12), Hong Kong, March 2012.
  19. K. D. Singh, Y. Hadjadj-Aoul, and G. Rubino, “Quality of experience estimation for adaptive Http/Tcp video streaming using H.264/AVC,” in Proceedings of the 9th Anual IEEE Consumer Communications and Networking Conf. Multimedia and Entertaiment Networking and Services (CCNC '12), pp. 127–131, Las Vegas, Nev, USA, January 2012. View at Publisher · View at Google Scholar
  20. Q. Lia, J. Yangb, L. He, and S. Fan, “Reduced-reference video quality assessment based on bp neural network model for packet networks,” Energy Procedia, vol. 13, pp. 8056–8062, 2011, Proceedings of the International Conference on Energy Systems and Electric Power (ESEP '11). View at Publisher · View at Google Scholar
  21. A. Khan, L. Sun, E. Ifeachor, J.-O. Fajardo, F. Liberal, and H. Koumaras, “Video quality prediction models based on video content dynamics for H.264 video over UMTS networks,” International Journal of Digital Multimedia Broadcasting, vol. 2010, Article ID 608138, 17 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. H. Du, C. Guo, Y. Liu, and Y. Liu, “Research on relationship between QoE and QoS based on BP neural network,” in Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC '09), pp. 312–315, Beijing, China, November 2009. View at Publisher · View at Google Scholar · View at Scopus
  23. K. Piamrat, C. Viho, A. Ksentini, and J.-M. Bonnin, “Quality of experience measurements for video streaming over wireless networks,” in Proceedings of the 6th International Conference on Information Technology: New Generations (ITNG '09), pp. 1184–1189, IEEE, Las Vegas, Nev, USA, April 2009. View at Publisher · View at Google Scholar · View at Scopus
  24. A. Khan, L. Sun, and E. Ifeachor, “An ANFIS-based hybrid video quality prediction model for video streaming over wireless networks,” in Proceedings of the 2nd International Conference on Next Generation Mobile Applications, Services, and Technologies (NGMAST '08), pp. 357–362, Cardiff, Wales, September 2008. View at Publisher · View at Google Scholar · View at Scopus
  25. G. Rubino and M. Varela, “A new approach for the prediction of end-to—end performance of multimedia streams,” in Proceedings of the International Conference on Quantitative Evaluation of Systems (QUEST '04), pp. 110–119, IEEE CS Press, University of Twente, Enschede, The Netherlands, September 2004. View at Publisher · View at Google Scholar
  26. P. Goudarzi, “A no-reference low-complexity QoE measurement algorithm for H.264 video transmission systems,” Scientia Iranica Transactions: Computer Science & Engineering and Electrical Engineering, vol. 20, no. 3, pp. 721–729, 2013. View at Publisher · View at Google Scholar · View at Scopus
  27. ITU-T, “Subjective video quality assessment methods for multimedia applications,” Recommendation P.910, International Telecommunication Union, Geneva, Switzerland, 1999. View at Google Scholar
  28. ITU-T, Recommendation, QoE Requirements in Consideration of Service Billing for IPTV Service, UIT-T FG-IPTV, International Telecommunication Union, Geneva, Switzerland, 2006.
  29. P. Casas, P. Belzarena, I. Irigaray, and D. Guerra, “A user perspective for end-to-end quality of service evaluation in multimedia networks,” in Proceedings of the 4th International IFIP/ACM Latin American Conference on Networking (LANC '07), San José, Costa Rica, 2007.
  30. P. Casas, P. Belzarena, and S. Vaton, “End-2-end evaluation of IP multimedia services, a user perceived quality of service approach,” in Proceedings of the 18th ITC Specialist Seminar on Quality of Experience (ITEC '08), Karlskrona, Sweden, May 2008.
  31. R. Immich, P. Borges, E. Cerqueira, and M. Curado, “QoE-driven video delivery improvement using packet loss prediction,” International Journal of Parallel, Emergent and Distributed Systems—Smart Communications in Network Technologies, vol. 30, no. 6, pp. 478–493, 2015. View at Publisher · View at Google Scholar
  32. M. Kailash and D. Padma, “An overview of quality of service measurement and optimization for voice over internet protocol implementation,” International Journal of Advances in Engineering & Technology, vol. 8, no. 1, pp. 2053–2063, 2015. View at Google Scholar
  33. S. Timotheou, “The random neural network: a survey,” The Computer Journal, vol. 53, no. 3, pp. 251–267, 2010. View at Publisher · View at Google Scholar · View at Scopus
  34. K. Kilkki, “Next generation internet and QoE,” in Presentation at EuroFGI IA.7.6 Workshop on Socio-Economic Issues of NGI, Santander, Spain, June 2007.
  35. ITU. FG-IPTV.DOC-0814, Quality of Experience Requirements for IPTV Services, 2007.
  36. E. Cerqueira, L. Veloso, M. Curado, and E. Monteiro, Quality Level Control for Multi-User Sessions in Future Generation Networks, University of Coimbra INESC Porto, Coimbra, Portugal, 2008.
  37. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600–612, 2004. View at Publisher · View at Google Scholar · View at Scopus
  38. D. Wang, W. Ding, Y. Man, and L. Cui, “A joint image quality assessment method based on global phase coherence and structural similarity,” in Proceedings of the 3rd International Congress on Image and Signal Processing (CISP '10), vol. 5, pp. 2307–2311, IEEE, Yantai, China, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  39. M. Vranješ, S. Rimac-Drlje, and D. Žagar, “Objective video quality metrics,” in Proceedings of the 49th International Symposium ELMAR, Faculty of Electrical Engineering, University of Osijek, Zadar, Croatia, September 2007.
  40. Z. Wang and A. C. Bovik, “A universal image quality index,” IEEE Signal Processing Letters, vol. 9, no. 3, pp. 81–84, 2002. View at Publisher · View at Google Scholar · View at Scopus
  41. Y. Wang, Survey of Objective Video Quality Measurements, EMC Corporation, Hopkinton, Mass, USA, 2004, ftp://ftp.cs.wpi.edu/pub/techreports/pdf/06-02.pdf.
  42. T. Zinner, O. Abboud, O. Hohlfeld, T. Hossfeld, and P. Train-Gia, “Towards QoE management for scalable video streaming,” in Proceedings of the 21st ITC Specialist Seminar on Multimedia Applications Traffic, Performance and QoE, Miyazaki, Japan, March 2010.
  43. R. Serral-Garcia, Y. Lu, M. Yannuzzi, X. Masip-Bruin, and F. Kuipers, Packet Loss Based Quality of Experience of Multimedia Video Flows, Crente de Recerca d'Arquitectures Avancades de Xarxes (Politencic University of Cataluña), Spain, Delft University of Technology, Delft, The Netherlands, 2009, http://personals.ac.upc.edu/rserral/research/techreports/psnr_mos.pdf.
  44. D. Botia, N. Gaviria, J. Botia, D. Jiménez, and J. M. Menéndez, “Improved the quality of experience assessment with quality index based frames over IPTV network,” in Proceedings of the 2nd International Conference on Information and Communication Technologies and Applications (ICTA '12), Orlando, Fla, USA, 2012.
  45. DSL Forum, “Triple play services quality of experience requierements and machanism,” Working Text WT-126 version 0.5, 2006. View at Google Scholar
  46. J. Klaue, B. Rathke, and A. Wolisz, “EvalVid—a framework for video transmission and quality evaluation,” in Proceedings of the 13th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation, pp. 255–272, Urbana, Ill, USA, September 2003.
  47. D. Vatolin, “MSU Video Metric Quality Tool,” MSU Graphics and media Lab, 2012, http://compression.ru/video/quality_measure/video_measurement_tool_en.html, Rusia.
  48. P. Subramanya, K. Vinayaka, H. Gururaj, and B. Ramesh, “Performance evaluation of high speed TCP variants in dumbbell network,” IOSR Journal of Computer Engineering, vol. 16, no. 2, pp. 49–53, 2014. View at Google Scholar
  49. D. Botia, N. Gaviria, D. Jiménez, and J. M. Menéndez, “Strategies for improving the QoE assessment over iTV platforms based on QoS metrics,” in Proceedings of the IEEE International Symposium on Multimedia (ISM '12), pp. 483–484, Irvine, Calif, USA, December 2012. View at Publisher · View at Google Scholar
  50. QoE-RNN Tool, 2011, http://code.google.com/p/qoe-rnn/.
  51. G. Rubino, M. Varela, and J.-M. Bonnin, “Controlling multimedia QoS in the future home network using the PSQA metric,” The Computer Journal, vol. 49, no. 2, pp. 137–155, 2006. View at Publisher · View at Google Scholar · View at Scopus
  52. W. Ding, Y. Tong, Q. Zhang, and D. Yang, “Image and video quality assessment using neural network and SVM,” Tsinghua Science and Technology, vol. 13, no. 1, pp. 112–116, 2008. View at Publisher · View at Google Scholar · View at Scopus
  53. A. Bouzerdoum, A. Havstad, and A. Beghdadi, “Image quality assessment using a neural network approach,” in Proceedings of the 4th IEEE International Symposium on Signal Processing and Information Technology, pp. 330–333, Rome, Italy, December 2004.
  54. J. Choe, K. Lee, and C. Lee, “No-reference video quality measurement using neural networks,” in Proceedings of the 16th International Conference on Digital Signal Processing (DSP '09), pp. 1–4, IEEE, Santorini-Hellas, Greece, July 2009. View at Publisher · View at Google Scholar · View at Scopus
  55. X. Zhang, L. Wu, Y. Fang, and H. Jiang, “A study of FR video quality assessment of real time video stream,” International Journal of Advanced Computer Science and Applications, vol. 3, no. 6, 2012. View at Publisher · View at Google Scholar
  56. C.-H. Kung, W.-S. Yang, C.-Y. Huan, and C.-M. Kung, “Investigation of the image quality assessment using neural networks and structure similarty,” in Proceedings of the International Symposium on Computer Science, vol. 2, no. 1, p. 219, August 2010.
  57. C. Wang, X. Jiang, F. Meng, and Y. Wang, “Quality assessment for MPEG-2 video streams using a neural network model,” in Proceedings of the IEEE 13th International Conference on Communication Technology (ICCT '11), pp. 868–872, IEEE, Jinan, China, September 2011. View at Publisher · View at Google Scholar · View at Scopus
  58. P. Reichl, S. Egger, S. Moller et al., “Towards a comprehensive framework for QOE and user behavior modelling,” in Proceedings of the 17th International Workshop on Quality of Multimedia Experience (QoMEX '15), pp. 1–6, IEEE, Pylos-Nestoras, Greece, May 2015. View at Publisher · View at Google Scholar
  59. M. Ries, J. Kubanek, and M. Rupp, “Video quality estimation for mobile streaming applications with neural networks,” in Proceedings of the Measurement of Speech and Audio Quality in Networks Workshop (MESAQIN '06), Prague, Czech Republic, June 2006.
  60. P. Casas, D. Guerra, and I. Bayarres, “Perceived Quality of Service in Voice and Video Services over IP,” School of Engineering, Universidad de la República, End of career project, Electrical Engineering—Plan 97, Telecommunications, Uruguay, 2005.
  61. S. Mohamed and G. Rubino, “A study of real-time packet video quality using random neural networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 12, pp. 1071–1083, 2002. View at Publisher · View at Google Scholar · View at Scopus
  62. VQEG, “Video Quality Experts Group, Final Report from the VQEG on the validation of Objective Models of Video Quality Assessment, Phase II,” 2003, http://www.its.bldrdoc.gov/vqeg/vqeg-home.aspx.
  63. S. Winkler, Digital Video Quality—Vision, Models and Metrics, John Wiley & Sons, 2005.
  64. A. Bath, I. Richardson, and S. Kannangara, A New Perceptual Quality Metric for Compressed Video, The Robert Gordon University, Aberdeen, Scotland, 2007.
  65. M. Alreshoodi, J. Woods, and I. K. Musa, “Optimising the delivery of Scalable H.264 Video stream by QoS/QoE correlation,” in Proceedings of the IEEE International Conference on Consumer Electronics (ICCE '15), pp. 253–254, IEEE, Las Vegas, Nev, USA, January 2015. View at Publisher · View at Google Scholar
  66. A. Kuwadekar and K. Al-Begain, “User centric quality of experience testing for video on demand over IMS,” in Proceedings of the 1st International Conference on Computational Intelligence, Communication Systems and Networks (CICSYN '09), pp. 497–504, Indore, India, July 2009. View at Publisher · View at Google Scholar · View at Scopus