A GA-BASED FAST SEARCH ALGORITHM FOR REALIZING EFFICIENCY MOTION COMPENSATION

摘要

This paper proposes a fast search technique using a genetic algorithm (GA) for realizing efficiency motion compensation. Previously proposed method that the motion compensation based on table lookup refers to two or more frames with one motion table. Therefore, dispersion of the prediction error of each frame is not only dispersion of the image quality of each prediction image but also influences the search speed of the motion table designing. In this proposed method, the prediction error of each frame is obtained by using the block matching method before the motion table is designed. The weight of each frame is put from the obtained prediction error to the fitness function of the GA, and the GA searches for the optimal motion table. Based on this strategy, the proposed method can search for a motion table more effectively.