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US-2019253722-A1 · Aug 15, 2019 · US
US2019260996A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2019260996-A1 |
| Application number | US-201916268939-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 6, 2019 |
| Priority date | Feb 20, 2018 |
| Publication date | Aug 22, 2019 |
| Grant date | — |
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A method of processing video data includes determining, by processing circuitry, a plurality of neighboring samples for predicting a current block. The plurality of neighboring samples are arranged outside of a region of a current picture, the region comprising the current block, a row of samples adjacent to a top row of the current block, and a column of samples adjacent to a left column of the current block. The method further comprises deriving, by the processing circuitry, local illumination compensation information for the current block using the plurality of neighboring samples and generating, by the processing circuitry, a prediction block using the local illumination compensation information.
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What is claimed is: 1 . A method of processing video data, the method comprising: determining, by processing circuitry, a plurality of neighboring samples for predicting a current block, wherein the plurality of neighboring samples are arranged outside of a region of a current picture, the region comprising the current block, a row of samples adjacent to a top row of the current block, and a column of samples adjacent to a left column of the current block; deriving, by the processing circuitry, local illumination compensation information for the current block using the plurality of neighboring samples; and generating, by the processing circuitry, a prediction block using the local illumination compensation information. 2 . The method of claim 1 , wherein the plurality of neighboring samples comprise a first set of samples arranged in a row and a second set of samples arranged in a column, the second set of samples being adjacent to the first set of samples. 3 . The method of claim 1 , wherein the plurality of neighboring samples comprise a first set of samples arranged in a row and a second set of samples arranged in a column, the second set of samples being spaced apart from the first set of samples. 4 . The method of claim 1 , further comprising: reconstructing, by the processing circuitry, before deriving the local illumination compensation information for the current block, the plurality of neighboring samples. 5 . The method of claim 1 , wherein the plurality of neighboring samples are adjacent to the region. 6 . The method of claim 1 , wherein the region comprises a largest coding unit or a coding tree unit covering the current block. 7 . The method of claim 1 , wherein the region covers one or more of the current block, a coded block above the current block, or a coded block to the left of the current block. 8 . The method of claim 1 , wherein deriving the local illumination compensation information comprises calculating a weight and/or offset using the plurality of neighboring samples. 9 . The method of claim 8 , wherein deriving the local illumination compensation information comprises calculating the weight and/or the offset using the plurality of neighboring samples and a plurality of reference neighboring samples. 10 . The method of claim 9 , wherein deriving the local illumination compensation information comprises calculating a and/or b, wherein a = 2 N · ∑ i = 0 2 N - 1 Rec neig ( i ) · Rec refneig ( i ) - ∑ i = 0 2 N - 1 Rec neig ( i ) · ∑ i = 0 2 N - 1 Rec refneig ( i ) 2 N · ∑
Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction · CPC title
involving spatial prediction techniques · CPC title
the region being a block, e.g. a macroblock · CPC title
Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking · CPC title
Incoming video signal characteristics or properties · CPC title
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