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A minimum distortion direction prediction-based novel fast half-pixel motion vector search algorithm is proposed, which can reduce considerably the computation load of half-pixel search. Based on the single valley characteristic of half-pixel error matching function inside search grid, the minimum distortion direction is predicted with the help of comparative results of sum of absolute difference(SAD) values of four integer-pixel points around integer-pixel motion vector. The experimental results reveal that, to all kinds of video sequences, the proposed algorithm can obtain almost the same video quality as that of the half-pixel full search algorithm with a decrease of computation cost by more than 66%.
A minimum distortion direction-based novel fast half-pixel motion vector search algorithm is proposed, which can reduce light the computation load of half-pixel search. Based on the single valley characteristic of half-pixel error matching function inside search grid, the minimum distortion direction is predicted with the help of comparative result of sum of absolute difference (SAD) values of four integer-pixel points around integer-pixel motion vector. The experimental results reveal that to all kinds of video sequences, the proposed algorithm can Obtain almost the same video quality as that of the half-pixel full search algorithm with a decrease of computation cost by more than 66%.