Skip to main content

User-Assisted Segmentation and Tracking of Video Objects

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2720))

Abstract

This paper introduces a semi-automatic segmentation method which can be used to generate VOP for object based coding schemes and multimedia authoring environment etc. Semi-automatic segmentation can be thought of as a user-assisted segmentation technique. A user can initially mark objects of interest around the object boundaries. Then the user-guided and selected objects are continuously separated from the unselected areas though time evolution in the image sequences. Our proposed method shows very promising results and this encourages the development of objects based video editing.

This research is partially supported under RRC-HECS in CNU, and is partially supported by Masters & PhD Education Program under the MOCIE, Korea. The support of IDEC CAD tools and equipments in this research are also gratefully acknowledged.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Choi, J.G., Kim, M., Kwak, J., Lee, M.H., Ahn, C.: User-assisted video object segmentation by multiple object tracking, ISO/IEC JTC1/SC29/WG11 MPEG97/m3349 (March 1998)

    Google Scholar 

  2. Gu, C., Lee, M.-C.: Semiautomatic segmentation and tracking of semantic video objects. IEEE Trans. Circuits Syst. Video technol. 8(5) (September 1998)

    Google Scholar 

  3. Lee, S.W., Choi, J.G., Kim, S.: Scene segmentation using a combined criterion of motion and intensity. Optical Engineering 36(8), 2346–2352 (1997)

    Article  Google Scholar 

  4. Salembier, P., Pardas, M.: Hierarchical morphological segmentation for image sequence coding. IEEE Transactions on Image Processing 3(5), 639–651 (1994)

    Article  Google Scholar 

  5. Aach, T., Kaup, A., Mester, R.: Statistical model-based change detection in moving video. Signal Processing 31(2), 165–180 (1993)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hong, SH., Lee, M.MO. (2003). User-Assisted Segmentation and Tracking of Video Objects. In: Freire, M.M., Lorenz, P., Lee, M.MO. (eds) High-Speed Networks and Multimedia Communications. HSNMC 2003. Lecture Notes in Computer Science, vol 2720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45076-4_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45076-4_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40542-9

  • Online ISBN: 978-3-540-45076-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics