Systems and methods for spatial prediction
View Patent ↗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.
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 is associated with a shape-adaptive discrete cosine transformation.
26. The device of claim 14 , wherein the processor is further configured to generate the one or more reconstructed remaining subsampled blocks based on a reconstructed residual corresponding to the one or more remaining subsampled blocks.