Skip to main content

Implanting Virtual Advertisement into Broadcast Soccer Video

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNCS,volume 3332)

Abstract

In this paper, we propose a novel method to implant virtual advertisements into broadcast soccer video without disturbing audience’s view experience. The salient objects are first detected from broadcast soccer video. These objects include static regions, central ellipse, goal mouth, and field boundary. Based on these objects, we identify suitable locations in the video for virtual advertisement implantation. The advertisement implantation can be done in real time. The proposed method allows a non-intrusive means to incorporate additional virtual content into a video presentation, facilitating an additional channel of communications to enhance greater video interactivity. It also creates a new business model for broadcast and advertising industry.

Keywords

  • Video Frame
  • Salient Object
  • Video Presentation
  • Sport Video
  • Salient Object Detection

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-540-30542-2_33
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   189.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-30542-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   239.00
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. http://www.screendigest.com

  2. Das, S., Rosser, R.J., Tan, Y.: Method of Tracking Scene Motion for Live Video Insertion Systems, US Patent 5,808,695 (1998)

    Google Scholar 

  3. Amir, Y., et al.: Method and System for Perspectively Distorting an Image and Implanting Same into a Video Stream, US Patent 5,731,846 (1998)

    Google Scholar 

  4. Tamir, M., et al.: Method and Apparatus for Automatic Electronic Replacement of Billboards in a Video Image, US Patent 6,292,227 (2001)

    Google Scholar 

  5. Yu, X., Leong, H., Xu, C., Tian, Q.: A robust Hough transform based algorithm for partial ellipse detection in broadcast soccer video. In: IEEE International Conference on Multimedia & Expo, Taipei, Taiwan, June 27-30 (2004)

    Google Scholar 

  6. Wan, K., Yan, X., Yu, X., Xu, C.: Real-time goal-mouth detection in MPEG soccer Video. In: ACM International Conference on Multimedia, Berkeley, USA, pp. 311–314 (2003)

    Google Scholar 

  7. Wan, K., Lim, J., Xu, C., Yu, X.: Real-time camera field-view tracking in soccer video. In: IEEE International Conference on Acoustics, Speech, & Signal Processing, Hong Kong, China, April 7-11, vol. 3, pp. 185–188 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xu, C., Wan, K.W., Bui, S.H., Tian, Q. (2004). Implanting Virtual Advertisement into Broadcast Soccer Video. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30542-2_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30542-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23977-2

  • Online ISBN: 978-3-540-30542-2

  • eBook Packages: Computer ScienceComputer Science (R0)