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General Information
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(4): 466-470 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.169

Low Complexity Distributed Video Coding with Golay Codes

Aparna P. and Sumam David

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.

Index Terms—Syndrome coding, compression, uplink, distributed source coding

The authors are with the National Institute of Technology, Surathkal, Karnataka, India (email: p.aparnadinesh@gmail.com; sumam@ieee.org)


Cite: Aparna P. and Sumam David, "Low Complexity Distributed Video Coding with Golay Codes," International Journal of Machine Learning and Computing vol. 2, no. 4, pp. 466-470, 2012.

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