Skip to main content

Automatic Scene Detection in News Program by Integrating Visual Feature and Rules

  • Conference paper
  • First Online:
Advances in Multimedia Information Processing — PCM 2001 (PCM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2195))

Included in the following conference series:

Abstract

Organizing video sequences from shot level to scene level is a challenging task, however, without the scene information, it will be very hard to extract the content of the video. In this paper, a visual and rule information integrated strategy is proposed to detect the scene information of the News programs. First, we extract out the video caption and anchor person (AP) shots in the video. Second, the rules among the scene, video caption, AP shots will be used to detect the scenes. Third, the visual features will also be used to analysis the scene information in the region which can not be covered by the rules. And experimental results based on this strategy are provided and analyzed on broadcast News videos.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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.

Similar content being viewed by others

Reference

  1. T. Lin, H. J. Zhang “Automatic Video Scene Extraction by Shot Grouping”, Proc. ICPR 2000.

    Google Scholar 

  2. C.W. Ngo, T.C. Pong, H.J. Zhang, R.T. Chin “Motion-based Video Representation for Scene Change Detection”, Proc. ICPR 2000.

    Google Scholar 

  3. Y. Rui, T.S. Huang, S. Mehrotra “Exploring Video Structure Beyond The Shots”, Proceedings of the IEEE International Conference on Multimedia Computing and Systems1998

    Google Scholar 

  4. Hauptmann, A., Witbrock, M. Story Segmentation and Detection of Commercials in Broadcast News Video”, ADL-98 Advances in Digital Libraries Conference, Santa Barbara, CA., April 22-24, 1998

    Google Scholar 

  5. Alan Hanjalic, Reginald L. Lagendijk, Jan Biemond, “Template-based Detection of Anchorperson Shots in News Program”, In: ICIP 1998, Chicago.

    Google Scholar 

  6. L. Zhao, W. Qi, S.Z. Li, S.Q. Yang, H.J. Zhang “Key-frame Extraction and Shot Retrieval Using Nearest Feature Line (NFL)”, Proceedings on ACM multimedia 2000 workshops, 2000, p.217–220.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhu, X., Wu, L., Xue, X., Lu, X., Fan, J. (2001). Automatic Scene Detection in News Program by Integrating Visual Feature and Rules. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_109

Download citation

  • DOI: https://doi.org/10.1007/3-540-45453-5_109

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42680-6

  • Online ISBN: 978-3-540-45453-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics