Skip to main content

Joint Source-Channel Video Coding Based on the Optimization of End-to-End Distortions

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4319))

Abstract

In this research, a JSCC (Joint Source-Channel Coding) video coding system based on the optimization of end-to-end distortions is proposed. To this end, a model describing the rate and distortion of video contents in the error-prone environment is established and estimated. Based on the constructed models, the proposed system is capable of controlling coding parameters, such as channel code rate, quantization parameters, and number of packets, adaptively in accordance with the channel condition and bit rate budge, to optimize the quality of received video at decoder side. Experimental results show that our proposed JSCC system can improve PSNR by up to 5 dB, with respect to the traditional EEP (Equal error protection) technique.

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   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
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. Wang, Y., Wenger, S., Wen, J., Katsaggelos, A.K.: Error Resilient Video Coding Techniques. IEEE Signal Processing Magazine 17, 61–82 (2000)

    Article  Google Scholar 

  2. Wang, Y., Zhu, Q.-F.: Error Control and Concealment for Video Communication: A Review. Proc. of the IEEE 86(5), 974–997 (1998)

    Article  Google Scholar 

  3. Srinivasan, M., Chellappa, R.: Adaptive source-channel subband video coding for wireless channels. IEEE Journal on Selected Areas in Communications 16(9), 1830–1839 (1998)

    Article  Google Scholar 

  4. He, Z., Cai, J., Chen, C.W.: Joint source channel rate-distortion analysis for adaptive mode selection and rate control in wireless video coding. IEEE Trans. on Circuits and Systems for Video Tech. 12(6), 511–523 (2002)

    Article  Google Scholar 

  5. Stuhlmuller, K., Farber, N., Link, M., Girod, B.: Analysis of video transmission over lossy channel. IEEE Journal on Selected Areas in Communications 18(6), 1012–1032 (2000)

    Article  Google Scholar 

  6. Eisenberg, Y., Zhai, F., Papppas, T.N., Berry, R., Katsaggelos, A.K.: VAPOR: Variance-aware per-pixel optimal resource allocation. IEEE Trans. on Image Processing 15(2), 289–299 (2006)

    Article  Google Scholar 

  7. Cote, G., Shirani, S., Kossentini, F.: Optimal mode selection and synchronization for robust video communication over error-prone networks. IEEE Journal on Selected Areas in Communications 18(6), 952–965 (2000)

    Article  Google Scholar 

  8. Zhang, R., Regunathan, S.L., Rose, K.: Video coding with optimal inter/intra-mode switching for packet loss resilience. IEEE Journal on Selected Areas in Communications 18(6), 966–976 (2000)

    Article  Google Scholar 

  9. Ribas-Corbera, J., Lei, S.: Rate control in DCT video coding for low-delay communications. IEEE Trans. on Circuits and Systems for Video Technology 9(1), 172–185 (1999)

    Article  Google Scholar 

  10. He, Z., Kim, Y., Mitra, S.K.: Object-level bit allocation and scalable rate control for MPEG-4 video coding. In: Proc. of Workshop and Exhibition on MPEG-4, San Jose (June 2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lie, WN., Gao, ZW., Liu, TL., Jui, PC. (2006). Joint Source-Channel Video Coding Based on the Optimization of End-to-End Distortions. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_84

Download citation

  • DOI: https://doi.org/10.1007/11949534_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68297-4

  • Online ISBN: 978-3-540-68298-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics