System and method for introducing virtual zero motion vector candidates in areas of a video sequence involving overlays
First Claim
1. A method of compressing video data comprising:
- determining a first prediction of one or more pixel values in a first video frame based on one or more collocated pixel values in a second video frame;
determining a second prediction of the one or more pixel values in the first video frame based on one or more non-collocated pixel values in the second video frame; and
determining a mixing weight factor to be used to combine the first and second predictions during reconstruction of the one or more pixel values.
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Abstract
Systems and methods for efficiently encoding and/or reformatting video data including transparent overlay portions are disclosed. In one embodiment, the method includes using two prediction regions for predicting the portion of the video including the transparent overlay. In one embodiment, a first of the two prediction regions is determined based on motion compensated prediction in reference to another video frame and a second of the two prediction regions is a collocated portion of video in another frame as referenced by a virtual zero motion vector. A mixing weight factor to be used for combining the two predictions is determined. In one embodiment, the mixing weight factor is determined based on the relative values of two error metrics, a first error metric related to the motion compensated prediction and a second error metric related to the collocated prediction of the virtual zero motion vector.
51 Citations
24 Claims
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1. A method of compressing video data comprising:
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determining a first prediction of one or more pixel values in a first video frame based on one or more collocated pixel values in a second video frame; determining a second prediction of the one or more pixel values in the first video frame based on one or more non-collocated pixel values in the second video frame; and determining a mixing weight factor to be used to combine the first and second predictions during reconstruction of the one or more pixel values. - View Dependent Claims (2, 3, 4)
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5. A method of video processing comprising:
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receiving a first frame of video data; receiving a second frame of video data, wherein a first set of one or more pixel values of the second frame is predicted, using motion estimation, from a second set of one or more non-collocated pixel values of the first frame of video data; determining a first prediction of a third set of one or more pixels of a third frame based on the motion estimation between the second frame and the first frame; determining a second prediction of the third set of one or more pixels of the third frame based on collocated pixels of the first frame and/or the second frame; and calculating values of the one or more identified pixels of the third set by combining the first prediction and the second prediction. - View Dependent Claims (6, 7, 8, 9, 10, 11, 12)
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13. A system for compressing video data comprising:
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a motion estimation subsystem configured to determine a first prediction of one or more pixel values in a first video frame based on one or more collocated pixel values in a second video frame, and to determine a second prediction of the one or more pixel values in the first video frame based on one or more non-collocated pixel values in the second video frame; and a mixing factor computation subsystem configured to determine a mixing weight factor to be used to combine the first and second predictions during reconstruction of the one or more pixel values. - View Dependent Claims (14, 15, 16)
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17. A system for video processing comprising:
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a receiver configured to receive a first frame of video data, and to receive a second frame of video data, wherein a first set of one or more pixel values of the second frame is predicted, using motion estimation, from a second set of one or more non-collocated pixel values of the first frame of video data; and a reformatting subsystem configured to determine a first prediction of a third set of one or more pixels of a third frame based on the motion estimation between the second frame and the first frame, to determine a second prediction of the third set of one or more pixels of the third frame based on collocated pixels of the first frame and/or the second frame, and to calculate values of the one or more identified pixels of the third set by combining the first prediction and the second prediction. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification