We present a semi-automatic system that converts conventional video shots to stereoscopic video pairs. The system requires just a few user-scribbles in a sparse set of frames. The system combines a diffusion scheme, which takes into account the local saliency and the local motion at each video location, coupled with a classification scheme that assigns depth to image patches. The system tolerates both scene motion and camera motion. In typical shots, containing hundreds of frames, even in the

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... ce of significant motion, it is enough to mark scribbles on the first and last frames of the shot. Once marked, plausible stereo results are obtained in a matter of seconds, leading to a scalable video conversion system. Finally, we validate our results with ground truth stereo video.