Method and an apparatus to speed the video system optimization using genetic algorithms and memory storage

Abstract

A system and method for speed the video system optimization using genetic algorithms and memory storage, whereby previously evaluated chromosomes, and their associated image quality, are stored in a memory unit for fast retrieval, such as a hash table, to create a large savings of processing time for previously evaluated chromosomes (variations of video systems) that do not have to be re-tested. The steps may include (a) providing a video processing system that utilizes a heuristic optimization framework for video image evaluation of a video image input including a plurality of genetic algorithms; (b) testing a plurality of system optimization designs comprising unique combinations of the plurality of genetic algorithms applied to optimize the video image so as to result in plurality of modified images; (c) assigning a fitness value to each of the plurality of system optimizations in step (b) based on an objective image quality metric evaluation of the modified images; (d) storing each of the tested system optimization designs including a respective modified image and associated fitness value in a memory; (e) determining whether a proposed system optimization design includes one or more particular combinations of genetic algorithms that have been previously tested in step (b) and stored in the memory; and (f) retrieving the results of the tested system optimization design comprising the one or more particular combinations of genetic algorithms to find an optimum solution for the subsequent video image evaluation.

Dependencies are inferred from the claim text.