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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).