A new two-stage global/local motion estimation based on a background/foreground segmentation
In video coding, the reduction of temporal redundancy is the key to achieving high performance. In the framework of sequence coding, motion estimation and compensation has been shown to be very efficient at removing temporal redundancy. The motion existing in a scene can be mainly seen as arising from local motions superimposed to the camera motion. A new two stage global/local motion estimation approach is presented. The global motion estimation only relies on the background information. It is based on a matching technique and the global motion model is chosen to be affine. Simulation results show significant improvements obtained with the proposed method compared to the usual methods.