Skip to main content

Object Assisted Video Coding for Video Conferencing System

  • Conference paper
  • First Online:
Advances in Multimedia Information Processing — PCM 2002 (PCM 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2532))

Included in the following conference series:

  • 275 Accesses

Abstract

An object-based video coding for video conferencing system is proposed. There are two main processes: segmentation process and face detection process. The segmentation process is used to segment each frame of a video sequence into two non-overlapping regions, namely foreground and background. A novel face detection technique based on chrominance and the contour of the segmented region is applied to the foreground region. Smaller quantization step is used for the facial region to improve viewer’s perception while a larger quantization step is used for the background to compensate the coding efficiency. The remaining regions are kept in normal coding quality to prevent degradation of important information other than the facial regio.

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

Access this chapter

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. Eleftheriadis and A. Jacquin, “Automatic face location detection and tracking for modelassisted coding of video teleconferencing sequences at low bit-rate,” Signal processing: Image Communication, Vol. 7, No. 4-6, pp. 231–248, Nov. 1995.

    Google Scholar 

  2. D. Chai and K. N. Ngan, “Face segmentation using skin-color map in videophone application,” IEEE Trans. Circuits Syst. Video Technol., vol. 9, No. 4, 551–564, Jun. 1999.

    Article  Google Scholar 

  3. Chia-Wen Lin; Yao-Jen Chang; Yung-Chang Chen, “Low-complexity face-assisted video coding,” Proc. IEEE Int. Conf. Image Processing, pp 207–210, 2000.

    Google Scholar 

  4. Thomas Meier and King N. Ngan, “Automatic Segmentation of Moving Objects for Video Object Plane Generation”, IEEE Tran. On Circuits and System for VT, Vol. 8, No. 5, Sept. 1998.

    Google Scholar 

  5. R. Fablet, P. Bouthemy and M. Gelgon, “Moving Object Detection in Color Image Sequences using Region-level Graph Labeling”, Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on, Vol. 2, Page(s): 939–943 vol.2

    Google Scholar 

  6. Lili Qiu; Li Li, “Contour extraction of moving objects”, Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on, Volume: 2, 1998, Page(s): 1427–1432 vol.2

    Google Scholar 

  7. C. H. Lin and J. L. Wu, “Content-based rate control scheme for very low bit-rate video coding”, IEEE Tran. On Consumer Electronics, Vol. 43, No 2, May 1997.

    Google Scholar 

  8. F. Pinciroli, C. Combi, G. Puzzi, M. Negretto, L. Portoni, and G. Invernizzi, “A Peano-Hilbert derived algorithm for compression of angiocardiographic images,” in Proc. 18 th Annu. Conf. Computers Cardiology, 1992, pp. 81–84.

    Google Scholar 

  9. V. Govindaraju, R. K. Srihari, and D. B. Sher, “A computational model for face location,” in Proc. Third Int. Conf. Computer Vision, 1990, pp. 718–721.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lai, K., Wong, S., Lun, D. (2002). Object Assisted Video Coding for Video Conferencing System. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_63

Download citation

  • DOI: https://doi.org/10.1007/3-540-36228-2_63

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00262-8

  • Online ISBN: 978-3-540-36228-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics