Abstract
Concerning the high computation complexity of disparity estimation for multiview video encoding,a new method for disparity estimation based on Mean Shift was proposed.The relationship between disparity vector and motion vector in the spatio-temporal domain was analyzed,and the prediction disparity vector was calculated.The initial searching position for disparity matching was confirmed to be the initial value of iteration calculation by Mean Shift,and the macroblock's optimum matching in reference frame was achieved.The experimental results show that the proposed method can save more than 94% encoding time with a negligible drop in rate distortion compared with the full search algorithm.Compared to the fast searching algorithm,this method saves more than 10% encoding time and improves rate distortion.
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