Method for speeding up motion estimation utilizing selective prediction
A motion estimation and selective technology, applied in the field of motion estimation and compensation, can solve the problems of lower prediction accuracy, low efficiency of speed improvement, poor video quality, etc., to speed up the overall speed, avoid blindness, and improve prediction accuracy Effect
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[0026] The present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings.
[0027] In the block matching method, for each block (or macroblock) in the current frame, it is necessary to search for a block that best matches it in the reference frame as the prediction block. Currently, there are three commonly used matching criteria:
[0028] (1) Absolute error and (SAD, Sum of Absolute Difference) criterion;
[0029] (2) Mean Square Error (MSE, Mean Square Error) criterion;
[0030] (3) Normalized Cross Correlation Function (NCCF, Normalized Cross Correlation Function) criterion.
[0031] Among the above three criteria, the SAD criterion has the advantages of simple and convenient implementation without multiplication operation, so the search method of the present invention preferably selects SAD as the matching criterion. In the square matching algorithm, SAD is defined as:
[0032]
[0033] In the formula, D is ...
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