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There are numerous image and video coding and compression methods available nowadays. Images can be interpreted in several ways by decomposition into basic functions: strokes [8,9], fractals [10], etc. Each of these is natural in some sense. The idea behind paintbrush transformation techniques was to transform an image so that it gives the sensation of a painting, the painting process being a simulation of the real painting process by using simplified artificial strokes. The parameters of consecutive strokes can then be used for image description and compression as well. Taking our stochastic paintbrush transformation as a starting point [1,2] we tried to develop a method of motion picture transformation with the goal of obtaining animation-like outputs from ordinary video inputs, which have the properties of the original paintbrush transformation. The method is based on the following idea: besides the full-frame paintbrush transformation of the keyframes, the transformation is based on the motion information obtained from motion detection between consecutive frames. By using the optical flow data obtained, the areas where motion occurred are retransformed and the next transformed frame is obtained from the previous transformed frame and the processed motion areas. The output of the transformation is an intermediate format, in which the frames of the output video are stored as series of brush-strokes, and the motion data is also stored between the frames, run-length-encoded. The whole intermediate format undergoes a Huffmannencoding [6], obtaining smaller output sizes. By decompression and repainting the frames of the transformed video using the stored stroke-series and the motion data can be reconstructed and recoded into any available video format.