Parameters estimation applied to automatic video processing algorithms validation

An automatic and systematic method to estimate parameters and to validate implementations of video processing algorithms is presented. Correctly adjusting video processing parameters can have a significant impact on the algorithm performance and behavior. Since video processing algorithm parameters are often determined empirically, a new method to automatically estimate parameters is proposed. The method takes advantage of an automatic word length determination tool embedded into a performance driven validation platform that was modified in order to automatically compute optimum parameter values. Experimental results obtained with two spatial filters and an intra-field deinterlacing algorithm are presented to illustrate the validity of our approach.