Motion-Based Analysis And Synthesis Of Dynamic Textures

In this paper, we propose an approach for synthesising motion of the identified dynamic textures, which is intended to replace conventional video coding of such content, i.e. encoding prediction residuals after block-wise translational motion estimation. Our algorithm first employs a perspective motion model to compensate for the global camera motion, such that only remaining dynamic motion is further analysed. Moreover, we use dense optical flow instead of block-based approach, which is important for representing the true motion of rigid objects and modeling the random motion of dynamic textures. The simulation results show that the proposed technique is able to synthesise visually plausible dynamic textures.