Encoder rate control for transform domain Wyner-Ziv Video Coding

In Distributed Video Coding (DVC) the encoder compresses frames at source rates that rely on the statistical dependency involving the Wyner-Ziv (WZ) and side information frames. A significant issue that individuals address in this paper provides the encoder with a mechanism to spot the origin rate to be found in encoding a WZ frame. One possible solution is to check out a feedback approach; the encoder starts by sending a tiny amount of data (low source rate). Just in case the decoder fails to recuperate the compressed frame, it offers the encoder with a feedback requesting more bits. This solution results in using source rates which can be ideal in the sense that they're the minimal rates that cause successful decoding. Nevertheless, this solution mightn't be practical for visual sensor networks as it can exhaust limited bandwidth and energy resources. To fix these problems, we propose a book encoder rate control (ERC) algorithm for Transform-domain distributed video (TDDV) coder without feedback channel at the price of slightly increased encoder complexity. The experiment results reveal that the performance obtained using our ERC algorithm can be compared to that obtained utilizing the decoder rate control (DRC) algorithm.

[1]  Antonio Ortega,et al.  Rate-Distortion Analysis and Bit Allocation Strategy for Motion Estimation at the Decoder using Maximum Likelihood Technique in Distributed Video Coding , 2007, 2007 IEEE International Conference on Image Processing.

[2]  Aleksandra Pizurica,et al.  Rate Allocation Algorithm for Pixel-Domain Distributed Video Coding Without Feedback Channel , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[3]  Hayder Radha,et al.  Practical Distributed Video Coding based on source rate estimation , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).

[4]  Shirish S. Karande,et al.  Multi-Hypothesis based Distributed Video Coding using LDPC Codes , 2005 .

[5]  Hong Shen,et al.  Encoder Rate Control for Pixel-Domain Distributed Video Coding without Feedback Channel , 2009, 2009 Third International Conference on Multimedia and Ubiquitous Engineering.

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

[7]  Zixiang Xiong,et al.  Compression of binary sources with side information at the decoder using LDPC codes , 2002, IEEE Communications Letters.

[8]  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..

[9]  Kannan Ramchandran,et al.  Distributed source coding using syndromes (DISCUS): design and construction , 2003, IEEE Trans. Inf. Theory.

[10]  Mahmood Fathy,et al.  Using spatial correlations in distributed video coding , 2011, 2011 International Symposium on Artificial Intelligence and Signal Processing (AISP).

[11]  Kannan Ramchandran,et al.  Distributed source coding using syndromes (DISCUSS): design and construction , 1999 .

[12]  Gary J. Sullivan,et al.  Rate-distortion optimization for video compression , 1998, IEEE Signal Process. Mag..

[13]  Bernd Girod,et al.  Transform-domain Wyner-Ziv codec for video , 2004, IS&T/SPIE Electronic Imaging.