A motion field segmentation to improve moving edges reconstruction in video coding

Block matching motion estimation techniques have shown their efficiency to reduce the temporal redundancy for video coding. However, they tend to introduce annoying block artifacts in the displaced frame difference due to their block-based model. In this paper, we propose a motion field refinement technique in order to overcome these artifacts. The method relies on vector quantization. The patterns to segment the motion field are derived by the LBG algorithm, the training being performed on segmented patterns obtained from natural images. Simulation results show a significant improvement due to the proposed method, in particular moving edges are much better motion compensated and the visual quality is greatly enhanced