Distributed video coding without channel codes

Distributed video coding allows the compression of video frames in a distributed fashion leading to a rather simple computational encoding, but requiring a complex decoding. The main drawback however is the decoding complexity making some practical applications difficult. Nowadays, most distributed video coding schemes are based on efficient channel codes such as LDPC and Turbo codes. This is the main cause of the decoder's high complexity. This paper proposes a new distributed video coding scheme that can avoid the use of such codes. It is based on an adaptive representation of the source frames combined with a DC-guided scheme. This combination can reduce the data that need to be transmitted from the encoder to the decoder. This subsequently allows complex channel coding to be replaced by simple entropic coding methods, such as arithmetic source coding, with little performance degradation. Experimental results show that the proposed scheme can significantly improve the performance compared to conventional distributed video coding schemes, while enabling a much lower computational complex decoder.

[1]  Jack K. Wolf,et al.  Noiseless coding of correlated information sources , 1973, IEEE Trans. Inf. Theory.

[2]  B. Girod,et al.  Rate-Adaptive Distributed Source Coding using Low-Density Parity-Check Codes , 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

[3]  Demin Wang,et al.  DC-guided compression scheme for distributed video coding , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.

[4]  Aaron D. Wyner,et al.  The rate-distortion function for source coding with side information at the decoder , 1976, IEEE Trans. Inf. Theory.

[5]  Filippo Speranza,et al.  Advanced Frame Rate Conversion and Performance Evaluation , 2006 .

[6]  Bernd Girod,et al.  Distributed Video Coding , 2005, Proceedings of the IEEE.

[7]  Rui Zhang,et al.  Wyner-Ziv coding of motion video , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[8]  Demin Wang,et al.  Adaptive source representation for distributed video coding , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).