Skip to main content
SpringerLink
Log in

Detecting Abrupt Scene Change Using Neural Network

  • Conference paper
  • First Online:
Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

Included in the following conference series:

Abstract

A real-time algorithm is proposed for the detection of abrupt scene changes, which makes use of a dual (one big and one small) window and single-side checking to avoid the false detection and miss detection caused by the violent motion of camera and/or large objects. In addition, a multi-layer perceptron is used to solve the problem of parameter determination in the proposed algorithm. The performance of our algorithm has been experimentally compared with that of some typical methods by using real video sequences. The recall rate is greatly improved while keeping high precision rate.

This work has been supported by NNSF (69672029) and HTP (863-317-9604-05).

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. J.S. Boreczky and L.A. Rowe, SPIE, V.2664: 170–179, 1996.

    Google Scholar 

  2. R.M. Ford et al., Proceedings of IEEE ICMCS, 610–611, 1997.

    Google Scholar 

  3. V. Kobla and D. Doermann, SPIE, V.3022: 200–211, 1997

    Google Scholar 

  4. H.J. Zhang et al., Multimedia Systems, V.1: 10–28, 1993.

    Google Scholar 

  5. B.L. Yeo and B. Liu, IEEE Trans. CSVT-5: 533–544, 1995.

    Google Scholar 

  6. K. Fukushima, Neural Network, V.1: 119–130, 1988.

    Google Scholar 

  7. A. Van Ooyen and B. Nienhuis, Neural Network, V.5: 465–471, 1992

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China

    H. B. Lu & Y. J. Zhang

Authors
  1. H. B. Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Y. J. Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lu, H.B., Zhang, Y.J. (1999). Detecting Abrupt Scene Change Using Neural Network. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_37

Download citation

  • DOI: https://doi.org/10.1007/3-540-48762-X_37

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation