GA-BASED MOTION TABLE REALIZATION FOR EFFICIENT VIDEO CODING (Image Processing and Coding)(International Workshop On Advanced Image Technology (IWAIT2004))

概要

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This paper proposes a motion-table realization method for efficiently and high quality motion compensation. The proposed motion table is realized by using a genetic algorithm (GA) based on a fitness function which is defined by both the prediction image quality and the bit rate to represent motion vectors. According to this fitness function, the GA searches all the possible motion vectors for the necessary vectors; that is to say, by using a motion table including only the necessary vectors, we can obtain a high quality prediction image without increasing the bit rate. Since the previous methods do not directly search for the motion vectors which provide the prediction image quality with the low bit rate; therefore, our approach is not only novel but also provide high quality prediction image. In this paper, we apply the proposed method to actual motion pictures to verify its effectiveness. Furthermore, some of the previous methods not including GA are applied to the same pictures, and the results are compared to our results. This comparison also shows that the proposed method is more effective than the others.
社団法人電子情報通信学会の論文
2004-01-05