Extremely low bit-rate video image prediction using adaptive searching method

The temporal redundancy of a video signal is always utilized in video image compression. To reduce the channel requirement of a video signal, motion information of the moving object(s) in the image sequence is/are always extracted and represented by motion estimation. The block matching algorithm (BMA) is a popular motion estimation scheme. However the system complexity and compression capability of existing motion estimation schemes are always non-preferable. A novel motion compensation scheme is proposed in this paper. The adaptive searching technique that have been utilized in still image approximation is adopted in the proposed scheme to achieve high compression capability and low complexity. From the experimental results, no bit is required in the proposed scheme to achieved a high visual quality image approximation