Skip to main content
SpringerLink
Log in

Recognition of Trademarks during Sport Television Broadcasts

  • Conference paper
Image Analysis and Recognition (ICIAR 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6754))

Included in the following conference series:

  • 1076 Accesses

Abstract

In the paper the problem of the recognition of trademarks placed on banners which are visible during a sport television broadcast is described and experimentally investigated. It constitutes the second stage of the process of the analysis of the banners, e.g. in order to estimate the time that a particular banner is visible and can exert influence on the customers’ behaviour. Banners placed near a play field during football matches were analysed. For this task four algorithms were selected and tested, namely the UNL shape descriptor combined with the Partial Point Matching Algorithm, the Contour Sequence Moments, the UNL-Fourier descriptor and the Point Distance Histogram. Amongst them the best result was obtained when using the UNL + PPMA approach. The average efficiency of this method was equal to 84%.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Frejlichowski, D.: Automatic localisation of trademarks during a sport television broadcast. In: Chmielarz, W., Kisielnicki, J., Parys, T. (eds.) Informatyka ku Przyszłości., pp. 361–369 (2010)

    Google Scholar 

  2. Zhong, D., Chang, S.-F.: Real-time view recognition and event detection for sports video. Journal of Visual Communication and Image Representation 15(3), 330–347 (2004)

    Article  Google Scholar 

  3. Yow, D., Yeo, B.-L., Yeung, M., Liu, B.: Analysis and presentation of soccer highlights from digital video. In: Li, S., Teoh, E.-K., Mital, D., Wang, H. (eds.) ACCV 1995. LNCS, vol. 1035, Springer, Heidelberg (1996)

    Google Scholar 

  4. Assfalg, J., Bertini, M., Colombo, C., Del Bimbo, A., Nunziati, W.: Semantic annotation of soccer videos: automatic highlights identification. Computer Vision and Image Understanding 92(2-3), 285–305 (2003)

    Article  Google Scholar 

  5. Seo, Y., Choi, S., Kim, H., Hong, K.S.: Where are the ball and players? Soccer game analysis with color-based tracking and image mosaick. In: Proc. of the Int. Conf. on Image Analysis and Processing, Florence, Italy, pp. 196–203 (1997)

    Google Scholar 

  6. Ancona, N., Cicirelli, G., Stella, E., Distante, A.: Ball detection in static images with Support Vector Machines for classification. Image and Vision Computing 21(8), 675–692 (2003)

    Article  Google Scholar 

  7. Leonardi, R., Migliorati, P.: Semantic indexing of multimedia documents. IEEE MultiMedia 9(2), 44–51 (2002)

    Article  Google Scholar 

  8. Li, B., Errico, J.H., Pan, H., Sezan, I.: Bridging the semantic gap in sports video retrieval and summarization. Journal of Visual Communication and Image Representation 15(3), 393–424 (2004)

    Article  Google Scholar 

  9. Andrade, E.L., Khan, E., Woods, J.C., Ghanbari, M.: Player identification in interactive sport scenes using region space analysis prior information and number recognition, Melisa EU Project (2003)

    Google Scholar 

  10. Frejlichowski, D., Wierzba, P.: A face-based automatic identification of football players during a sport television broadcast. Polish Journal of Environmental Studies 17(4C), 406–409 (2008)

    Google Scholar 

  11. Rauber, T.W., Steiger-Garcao, A.S.: 2-D form descriptors based on a normalized parametric polar transform (UNL transform). In: Proc. MVA 1992 IAPR Workshop on Machine Vision Applications (1992)

    Google Scholar 

  12. Frejlichowski, D.: An algorithm for binary contour objects representation and recognition. In: Campilho, A., Kamel, M.S. (eds.) ICIAR 2008. LNCS, vol. 5112, pp. 537–546. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Sonka, M., Hlavac, V., Boyle, R.: Image processing, analysis, and machine vision (2nd Edition). PWS – an Imprint of Brooks and Cole Publishing (1998)

    Google Scholar 

  14. Kukharev, G.: Digital Image Processing and Analysis (in Polish). Szczecin University of Technology Press (1998)

    Google Scholar 

  15. Frejlichowski, D.: Analysis of four polar shape descriptors properties in an exemplary application. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010. LNCS, vol. 6374, pp. 376–383. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Zolnierska 49, 71-210, Szczecin, Poland

    Dariusz Frejlichowski

Authors
  1. Dariusz Frejlichowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Frejlichowski, D. (2011). Recognition of Trademarks during Sport Television Broadcasts. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21596-4_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21596-4_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21595-7

  • Online ISBN: 978-3-642-21596-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation