Motion compensated prediction in transform domain Distributed Video Coding

The ongoing research in distributed video coding (DVC) for low complexity encoding is trying to shorten the substantial performance gap to well known state-of-the-art coders. One way of reducing this gap is to improve the quality of the motion compensated prediction. In this paper we investigate which motion estimation method to apply in DVC, comparing possible methods to produce a motion compensated prediction. We use interpolation as well as extrapolation methods. Our results show that even with a very simple DCT scheme for the Wyner Ziv frames, extrapolation can outperform the widely used interpolation.

[1]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[2]  Glen P. Abousleman,et al.  Distributed video coding with 3D recursive search block matching , 2006, 2006 IEEE International Symposium on Circuits and Systems.

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

[4]  Stefan Borchert,et al.  ON EXTRAPOLATING SIDE INFORMATION IN DISTRIBUTED VIDEO CODING , 2007 .

[5]  Catarina Brites,et al.  IMPROVING FRAME INTERPOLATION WITH SPATIAL MOTION SMOOTHING FOR PIXEL DOMAIN DISTRIBUTED VIDEO CODING , 2005 .

[6]  Bernd Girod,et al.  Compression with side information using turbo codes , 2002, Proceedings DCC 2002. Data Compression Conference.

[7]  Edward J. Delp,et al.  Rate Distortion Analysis of Motion Side Estimation in Wyner–Ziv Video Coding , 2007, IEEE Transactions on Image Processing.

[8]  Stefano Tubaro,et al.  Exploiting Spatial Redundancy in Pixel Domain Wyner-Ziv Video Coding , 2006, 2006 International Conference on Image Processing.

[9]  Gerard de Haan,et al.  True-motion estimation using feature correspondences , 2004, IS&T/SPIE Electronic Imaging.

[10]  Gary J. Sullivan,et al.  Rate-constrained coder control and comparison of video coding standards , 2003, IEEE Trans. Circuits Syst. Video Technol..

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

[12]  Bernd Girod,et al.  Wyner-Ziv Residual Coding of Video , 2006 .

[13]  Catarina Brites,et al.  Content Adaptive Wyner-ZIV Video Coding Driven by Motion Activity , 2006, 2006 International Conference on Image Processing.

[14]  Augusto Sarti,et al.  On the Modeling of Motion in Wyner-Ziv Video Coding , 2006, 2006 International Conference on Image Processing.