An adaptive motion compensation method using superimposed inter-frame signals

In theory, multi-hypothesis motion compensation prediction (MHMCP) can enhance the prediction quality of motion compensation prediction. Traditional MHMCP methods use fixed weightings for the linear combination of the multiple signal sources which may not be optimum. Moreover, MHMCP requires the transmission of more than one motion vector, which will increase the side information to be transmitted. We discovered that using estimated distortion ratio, a weighting pair can be estimated adaptively for the linear combination of two signal blocks to form a prediction block with a lower distortion. The proposed MCP method does not require the transmission of additional side information yet has a better prediction accuracy than conventional motion compensation prediction. In addition, the proposed method has relatively low algorithmic decision overhead. It can be implemented in hardware easily to support the realization of real time high-quality video coding.