An adaptive block motion estimation algorithm based on spatio-temporal correlation

This paper suggests a simple scheme based on spatio-temporal neighborhood information for obtaining better estimates of motion vectors. The estimated motion vector is chosen as initial search center. This predictive search center is found closer to the global minimum. Based on the prediction, the algorithm also chooses between center-biased or uniform approach for slow or fast moving sequences. For final fine search quadrant selection algorithm is chosen that speeds up the process. Experimental results presented in this paper demonstrate the efficiency of the proposed approach.