A Robust Method of Determining Context-Coder Solutions for Encoding Affine Motion Vectors

The translational motion model can't effectively model complex motion such as scaling, shearing and rotation. That is why more complex motion models like the affine model have been proposed. However, affine motion vectors (AMV)s are more complicated to encode than the translational motion vectors. In this paper we propose several context-coder solutions based on our novel context type limited exhaustive search simulation. As a result the average compression gains of 7.9%, 5.9%, and 9.6%, for mobile, cost guard, and modified mobile video sequences were respectively realized, with peek compression improvements of 13%. In addition, our simulation is described and successfully compared with J. Vaisey and Jin Tong (2002).

[1]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[2]  Shahram Shirani,et al.  Modeling Quantization of Affine Motion Vector Coefficients , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  Tong Jin,et al.  An iterative algorithm for context selection in adaptive entropy coders , 2002, Proceedings. International Conference on Image Processing.

[4]  P. Chou,et al.  Minimum conditional entropy context quantization , 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).

[5]  Petri Haavisto,et al.  Video coding using motion compensation with polynomial motion vector fields , 1997, Signal Process. Image Commun..

[6]  Antonio Ortega,et al.  Forward/backward adaptive context selection with applications to motion vector field encoding , 1997, Proceedings of International Conference on Image Processing.

[7]  Xiaolin Wu,et al.  Optimal context quantization in lossless compression of image data sequences , 2004, IEEE Transactions on Image Processing.

[8]  Thomas Wiegand,et al.  Affine multipicture motion-compensated prediction , 2005, IEEE Transactions on Circuits and Systems for Video Technology.

[9]  Joint Video Team Draft ITU-T Recommendation and Final draft international standard of joint video specification , 2003 .