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Method and Apparatus for Fine-grained Motion Boundary Processing

  • US 20150163509A1
  • Filed: 11/28/2014
  • Published: 06/11/2015
  • Est. Priority Date: 12/06/2013
  • Status: Active Grant
First Claim
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1. A method of fine-grained motion compensated prediction for boundary pixels in a video coding system, the method comprising:

  • determining one or more neighboring coding units (CUs) associated with a current coding unit (CU), wherein each of said one or more neighboring CUs is associated with a neighboring motion vector (MV);

    performing motion-compensated prediction using the neighboring MV for each of said one or more neighboring CUs to derive pre-generated predictors, wherein the pre-generated predictors correspond to one or more boundary lines or columns in a boundary region of the current CU;

    storing the pre-generated predictors associated with said one or more neighboring CUs;

    receiving input data associated with the current CU having a current MV;

    generating a first predictor for a current boundary pixel in the boundary region by applying motion compensation based on the current MV;

    generating a current boundary pixel predictor for the current boundary pixel using a weighted sum of the first predictor and one or more corresponding pre-generated predictors according to weighting factors; and

    applying encoding or decoding to the current CU using prediction data including the current boundary pixel predictor.

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