Global motion estimation and robust regression for video coding

In the H.263 Version 2 (H.263+) coding standard, the global motion compensation can be introduced by using Reference Picture Resampling (Annex. P) syntax. Such an application requires that the global motion parameters be estimated automatically. In this paper, we propose a global motion estimation algorithm based on the Taylor Expansion Equation and robust regression technique using probabilistic thresholding. The experimental results confirm that the proposed algorithm can improve both coding efficiency and the quality of motion compensation on sequences involving camera movement.