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.
['Serge Catudal', 'Marc-André Cantin', 'Yvon Savaria']
Parameters estimation applied to automatic video processing algorithms validation