Ltr frame updating in video encoding
US-2024414352-A1 · Dec 12, 2024 · US
US9699452B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9699452-B2 |
| Application number | US-201213615925-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 14, 2012 |
| Priority date | Sep 15, 2011 |
| Publication date | Jul 4, 2017 |
| Grant date | Jul 4, 2017 |
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Systems, methods, and instrumentalities are disclosed relating to intra prediction of a video signal based on mode-dependent subsampling. A block of coefficients associated with a first sub block of a video block, one or more blocks of coefficients associated with one or more remaining sub blocks of the video block, and an indication of a prediction mode for the video block may be received. One or more interpolating techniques, a predicted first sub block, and the predicted sub blocks of the one or more remaining sub blocks may be determined. A reconstructed first sub block and one or more reconstructed remaining sub blocks may be generated. A reconstructed video block may be formed based on the prediction mode, the reconstructed first sub block, and the one or more reconstructed remaining sub blocks.
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What is claimed is: 1. A video decoding method, comprising: receiving a video block; determining a prediction mode for the video block; determining a subsampled sub-block of the video block based on the prediction mode for the video block, wherein the video block comprises parameters that represent the subsampled sub-block of the video block and one or more remaining subsampled blocks of the video block, wherein the subsampled sub-block comprises pixels from two or more rows and two or more columns of the video block; generating a predicted subsampled sub-block based on the prediction mode; generating a reconstructed subsampled sub-block based on the predicted subsampled sub-block and the parameters; and generating predicted subsampled blocks of the one or more remaining subsampled blocks based on the reconstructed subsampled sub-block and the prediction mode; generating one or more reconstructed remaining subsampled blocks based on the predicted subsampled blocks of the one or more remaining subsampled blocks and the parameters; and generating a reconstructed video block based on the reconstructed subsampled sub-block and the one or more reconstructed remaining subsampled blocks. 2. The method of claim 1 , wherein a pixel of the one or more remaining subsampled blocks is predicted using at least two pixels of the subsampled sub-block. 3. The method of claim 1 , wherein a pixel of a first block of the one or more remaining subsampled blocks is predicted using a pixel of the subsampled sub-block and a pixel of a second block of the one or more remaining subsampled blocks. 4. The method of claim 1 , wherein the subsampled sub-block comprises a plurality of pixels and wherein the plurality of pixels of the subsampled sub-block are non-neighboring pixels of the video block. 5. The method of claim 1 , wherein the one or more remaining subsampled sub-blocks comprise a plurality of pixels and wherein each of the plurality of pixels of the one or more remaining subsampled sub-blocks is a neighbor pixel of at least one pixel of the subsampled sub-block. 6. The method of claim 1 , wherein the video block is defined by a size 2N*2N and the subsampled sub-block is defined by a size of 2N*N, N*2N, or N*N. 7. The method of claim 1 , further comprising: generating a reconstructed sub-block residual by inverse quantizing and inverse transforming coefficients associated with the subsampled sub-block using a first set of inverse quantization and inverse transformation parameters; and generating the reconstructed residual of the one or more remaining subsampled blocks by inverse quantizing and inverse transforming coefficients associated with the one or more remaining subsampled blocks using a second set of inverse quantization and inverse transformation parameters. 8. The method of claim 7 , wherein the first set of inverse quantization and inverse transformation parameters is different from the second set of inverse quantization and inverse transformation parameters. 9. The method of claim 7 , wherein one of the first set of inverse quantization and inverse transformation parameters or the second set of inverse quantization and inverse transformation parameters is associated with a shape-adaptive discrete cosine transformation. 10. The method of claim 1 , wherein the video block is a luma component or a chroma component of a video signal. 11. The method of claim 1 , wherein the prediction mode is a vertical prediction mode, a horizontal prediction mode, or a diagonal prediction mode. 12. The method of claim 1 , wherein the prediction mode is a DC prediction mode or a planar prediction mode. 13. The method of claim 1 , wherein the one or more reconstructed remaining subsampled blocks are generated based further on a reconstructed residual corresponding to the one or more remaining subsampled blocks. 14. A device comprising a processor configured to: receive a video block; determine a prediction mode for the video block; determine a subsampled sub-block of the video block based on the prediction mode for the video block, wherein the video block comprises parameters that represent the subsampled sub-block and one or more remaining subsampled blocks of the video block, wherein the subsampled sub-block comprises pixels from two or more rows and two or more columns of the video block; generate a predicted subsampled sub-block based on the prediction mode; generate a reconstructed subsampled sub-block based on the predicted subsampled sub-block and the parameters; generate predicted subsampled blocks of the one or more remaining subsampled blocks based on the prediction mode and the reconstructed subsampled sub-block; generate one or more reconstructed remaining subsampled blocks based on the predicted on the predicted subsampled blocks of the one or more remaining subsampled blocks and the parameters; and generate a reconstructed video block based on the reconstructed subsampled sub-block and the one or more reconstructed remaining subsampled blocks. 15. The device of claim 14 , wherein a pixel of the one or more remaining subsampled blocks is predicted using at least two pixels of the subsampled sub-block. 16. The device of claim 14 , wherein a pixel of a first block of the one or more remaining subsampled blocks is predicted using a pixel of the sub sampled sub-block and a pixel of a second block of the one or more remaining subsampled blocks. 17. The device of claim 14 , wherein the subsampled sub-block comprises a plurality of pixels and wherein the plurality of pixels of the subsampled sub-block are non-neighboring pixels of the video block. 18. The device of claim 14 , wherein the one or more remaining subsampled sub-blocks comprise a plurality of pixels and wherein each of the plurality of pixels of the one or more remaining subsampled sub-blocks is a neighbor pixel of at least one pixel of the subsampled sub-block. 19. The device of claim 14 , wherein the video block is defined by a size 2N*2N and the subsampled sub-block is defined by a size of 2N*N, N*2N, or N*N. 20. The device of claim 14 , wherein the prediction mode is a vertical prediction mode, a horizontal prediction mode, or a diagonal prediction mode. 21. The device of claim 14 , wherein the video block is a luma component or a chroma component of a video signal. 22. The device of claim 14 , wherein the prediction mode is a DC prediction mode or a planar prediction mode. 23. The device of claim 14 , wherein the processor is further configured to: generate a reconstructed sub-block residual by inverse quantizing and inverse transforming coefficients associated with the subsampled sub-block using a first set of inverse quantization and inverse transformation parameters; and generate the reconstructed residual of the one or more remaining subsampled blocks by inverse quantizing and inverse transforming coefficients associated with the one or more remaining subsampled blocks using a second set of inverse quantization and inverse transformation parameters. 24. The device of claim 23 , wherein the first set of inverse quantization and inverse transformation parameters is different from the second set of inverse quantization and inverse transformation parameters. 25. The device of claim 23 , wherein one of the first set of inverse quantization and inverse transformation parameters or the second set of inverse quantization and inverse transformation parameters
the transform being applied to non rectangular image segments · CPC title
Quantisation · CPC title
involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution · CPC title
Coding unit complexity, e.g. amount of activity or edge presence estimation (H04N19/146 takes precedence) · CPC title
the region being a block, e.g. a macroblock · CPC title
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