| 摘要 |
Statistical content block matching for video pre-processing, for example in fast motion estimation, uses a second-order distortion criterion for processing steps such as identifying a best reference image portion for comparison with a current image portion. The second-order distortion criterion is a Lagrange-optimized combination of a mean squared error criterion with an entropy criterion. Then a fast motion estimation search advantageously includes performing a diamond search using the second-order distortion criterion to identify a candidate best reference image portion, and performing a nearest neighbor search starting using said second-order distortion criterion to identify the best reference image portion within a search range limited by an adaptive search range cap. A better motion vector can then be calculated.
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