Quality Assessment for a Licence Plate Recognition Task Based on a Video Streamed in Limited Networking Conditions

  • Mikołaj Leszczuk
  • Lucjan Janowski
  • Piotr Romaniak
  • Andrzej Głowacz
  • Ryszard Mirek
Part of the Communications in Computer and Information Science book series (CCIS, volume 149)


Video transmission and analysis is often utilised in applications outside of the entertainment sector, and generally speaking this class of video is used to perform a specific task. Examples of these applications are security and public safety. The Quality of Experience (QoE) concept for video content used for entertainment differs significantly from the QoE of surveillance video used for recognition tasks. This is because, in the latter case, the subjective satisfaction of the user depends on achieving a given functionality. Moreover, such sequences have to be compressed significantly because the monitored place has to be seen on-line and it can be connected by an error prone wireless connection. Recognising the growing importance of video in delivering a range of public safety services, we focused on developing critical quality thresholds in licence plate recognition tasks based on videos streamed in constrained networking conditions.


quality of experience content distribution real time (live) content distribution 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Agresti, A.: Categorical Data Analysis, 2nd edn. Wiley, Chichester (2002)CrossRefzbMATHGoogle Scholar
  2. 2.
    Agresti, A., Coull, B.A.: Approximate is better than ”exact” for interval estimation of binomial proportions. The American Statistician 52(2), 119–126 (1998); ISSN: 0003-1305 MathSciNetGoogle Scholar
  3. 3.
    Dziech, A., Derkacz, J., Leszczuk, M.: Projekt INDECT (Intelligent Information System Supporting Observation, Searching and Detection for Security of Citizens in Urban Environment). Przeglad Telekomunikacyjny, Wiadomosci Telekomunikacyjne 8-9, 1417–1425 (2009)Google Scholar
  4. 4.
    Eskicioglu, A.M., Fisher, P.S.: Image quality measures and their performance. IEEE Transactions on Communications 43(12), 2959–2965 (1995), CrossRefGoogle Scholar
  5. 5.
    European Commission: European Security Research Conference, SRC 2009 (September 2009),
  6. 6.
    Ford, C., Stange, I.: Framework for Generalizing Public Safety Video Applications to Determine Quality Requirements. In: 3rd INDECT/IEEE International Conference on Multimedia Communications, Services and Security. AGH University of Science and Technology, Krakow, Poland, p. 5 (May 2010)Google Scholar
  7. 7.
    Ford, C.G., McFarland, M.A., Stange, I.W.: Subjective video quality assessment methods for recognition tasks. In: Rogowitz, B.E., Pappas, T.N. (eds.) SPIE Proceedings of Human Vision and Electronic Imaging., vol. 7240, p. 72400. SPIE, San Jose (2009)Google Scholar
  8. 8.
    Honess, T., Charman, E.: Closed circuit television in public places: Its acceptability and perceived effectiveness. Tech. rep. Home Office Police Department, LondonGoogle Scholar
  9. 9.
    ITU-T: Subjective Video Quality Assessment Methods for Multimedia Applications. ITU-T (1999)Google Scholar
  10. 10.
    Janowski, L., Romaniak, P.: Qoe as a function of frame rate and resolution changes. In: Zeadally et al. [14], pp. 34–45Google Scholar
  11. 11.
    Romaniak, P., Janowski, L.: How to build an objective model for packet loss effect on high definition content based on ssim and subjective experiments. In: Zeadally et al. [14], pp. 46–56Google Scholar
  12. 12.
    VQiPS: Video Quality in Public Safety Working Group,
  13. 13.
    Wang, Z., Lu, L., Bovik, A.C.: Video quality assessment based on structural distortion measurement. Signal Processing: Image Communication 19(2), 121–132 (2004), Scholar
  14. 14.
    Gomes, R., Junior, W., Cerqueira, E., Abelem, A.: A qoE fuzzy routing protocol for wireless mesh networks. In: Zeadally, S., Cerqueira, E., Curado, M., Leszczuk, M. (eds.) FMN 2010. LNCS, vol. 6157, pp. 1–12. Springer, Heidelberg (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mikołaj Leszczuk
    • 1
  • Lucjan Janowski
    • 1
  • Piotr Romaniak
    • 1
  • Andrzej Głowacz
    • 1
  • Ryszard Mirek
    • 1
  1. 1.Department of TelecommunicationsAGH University of Science and TechnologyKrakówPoland

Personalised recommendations