Smoothing algorithms for clip-and-paste model-based video coding

Model-based video coding has been adopted as a core experiment in ISO MPEG- 4 standard. The clip-and-paste technique for putting video objects in line is an important tool to reduce the transmission rate. To assist the clip-an d-pasting method fitting into the 2-D model, we propose several smoothing a lgorithms for improving the quality of the reconstructed images. In this pa per, the proposed smoothing algorithms can adjust deformations of zoom, til t, and rotation object images. Luminance smoothing algorithm is also applie d to compensate the light source variations. Simulation results show that t he smoothing methods help to improve clip-and-paste images to achieve a sat isfactory quality in visual perceptions.