Loss concealment based on video inpainting for robust video communication

This paper presents an error concealment algorithm combining the advantages of motion-compensated spatio-temporal interpolation and examplar-based video inpainting. The algorithm first estimates the motion information of erroneous/lost blocks in a video sequence using a state-of-the-art method called BMFI (Bilinear Motion Field Interpolation). Then, the video inpainting algorithm estimate the texture of each lost blocks as a linear combination of the most similar blocks in a motion-compensated window. Experiments on several videos show more accurate and visually pleasing results. In terms of PSNR (Peak of Signal-to-Noise Ratio), the average gain is about 2dB compared to state-of-art methods.