Dynamic Texture on Fixed-Point Architectures

Videos representing smoke, flames, flowing water, moving grass, and so on, show a periodic repetition of some basic pattern. The periodicity is not perfect, since each video frame is actually different from the others, but it is enough to perceive a certain regularity, so that these videos are referred as to dynamic textures. Recently, one method based on linear dynamic system theory was proposed to synthesize dynamic textures. Textures are represented as the output of a linear dynamic system and synthesis is reduced to matrix multiplication operations. In this report, we study the problem of implementing this method using fixedpoint arithmetic, as required in many portable devices, such as PDAs or mobile phones. This is done by jointly evaluating the effect of model coefficient quantization and of fixed-point precision arithmetic, which are both source of errors with respect to the floating-point implementation. Our analysis shows that the fixed-point scheme permits to obtain visual synthesis quality comparable to the more expensive floating-point implementation, with the advantage of requiring far less buffer memory space and permitting to perform faster synthesis.