| 摘要 |
Aspects of the present invention are related to low complexity systems and methods for nonlinear diffusion filtering of a motion-vector field. Local weights in the nonlinear diffusion filter may be data-adaptive, and, according to one aspect of the present invention, may be determined such that spatial coherency may not be enforced at object boundaries although the object boundaries have not been explicitly detected. Thus, the methods and systems of the present invention may smooth a motion-vector field without smoothing the motion-vector field across an object boundary. According to a second aspect of the present invention, motion vectors with a low confidence value may be suppressed, while motion vectors with a high confidence value may be propagated. According to another aspect of the present invention, motion estimation methods and systems may incorporate the methods and systems of the nonlinear diffusion filtering according to the present invention.
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