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IJML 2012 Vol.2(4): 466-470
doi: 10.7763/IJMLC.2012.V2.169

Low Complexity Distributed Video Coding with Golay Codes

Aparna P. , Sumam David

  • National Institute of Technology, Surathkal, Karnataka, India

Abstract

In this paper we present a low complexity video coder working on the principle of distributed source coding that combines the principle of channel coding with source coding. In this work the encoder complexity is shifted to the decoder to support uplink friendly video applications, simultaneously achieving the rate-distortion performance of the conventional predictive coding system. In this work concept of syndrome coding with Golay codes is adopted for compression. The simulation results presented in this paper reveals the superior performance of this distributed video coder over the Intraframe coders in terms of rate distortion performance, simultaneously achieving low complexity when compared to predictive coders.

Keywords

  • Syndrome coding
  • compression
  • uplink
  • distributed source coding
169-CL232

How to Cite

Copied

Aparna P. and Sumam David, "Low Complexity Distributed Video Coding with Golay Codes," International Journal of Machine Learning, vol. 2, no. 4, pp. 466-470, 2012. https://doi.org/10.7763/IJMLC.2012.V2.169

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD