IP Library Granted Patent US 11,445,204
Granted Patent B2
US 11,445,204 · App. 17/526,930 · Granted Sep 13, 2022

Matrix-based intra prediction device and method

Inventors: Mehdi Salehifar (Seoul, KR); Seunghwan Kim (Seoul, KR)
Assignee: LG ELECTRONICS INC.
H04N19/159H04N19/132H04N19/176H04N19/70
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Quick Facts
Patent No.
US 11,445,204
App. No.
17/526,930
Granted
Sep 13, 2022
Kind
B2
Abstract

An image decoding method according to the present document may comprise the steps of: receiving flag information indicating whether or not matrix-based intra prediction (MIP) is to be used for a current block; receiving matrix-based intra prediction (MIP) mode information on the basis of the flag information; generating intra prediction samples for the current block on the basis of the MIP mode information; and generating reconstructed samples for the current block on the basis of the intra prediction samples, wherein a syntax element bin string for the MIP mode information is binarized by using a truncated binarization method.

Claims (43)

1. An image decoding method performed by a decoding apparatus, the method comprising:

receiving flag information related to whether matrix-based intra prediction (MIP) is used for a current block;

receiving matrix-based intra prediction (MIP) mode information based on the flag information;

generating intra prediction samples for the current block based on the MIP mode information; and

generating reconstructed samples for the current block based on the intra prediction samples,

wherein the MIP mode information is index information related to an MIP matrix applied to the current block;

wherein a syntax element bin string for the MIP mode information is binarized by a truncated binarization method,

wherein a maximum length of the syntax element bin string is set to different three values based on a size of the current block, and

wherein the maximum length has a largest value based on a width and a height of the current block being 4.

2. The image decoding method of claim 1 , wherein the MIP mode information is decoded in a bypass method.

3. The image decoding method of claim 1 , wherein the generating of the intra prediction samples comprises:

deriving reduced boundary samples by downsampling reference samples adjacent to the current block;

deriving reduced prediction samples based on a multiplication operation of the reduced boundary samples and an MIP matrix; and

generating the intra prediction samples for the current block by upsampling the reduced prediction samples.

4. The image decoding method of claim 3 , wherein the MIP matrix is derived based on the size of the current block and the index information.

5. The image decoding method of claim 4 , wherein the MIP matrix is selectable from any one of three matrix sets classified according to the size of the current block, and

wherein each of the three matrix sets comprises a plurality of MIP matrices.

6. An image encoding method performed by an encoding apparatus, the method comprising:

deriving whether matrix-based intra prediction (MIP) is applied to a current block;

deriving intra prediction samples for the current block based on the MIP when the MIP is applied to the current block;

deriving residual samples for the current block based on the intra prediction samples; and

encoding information on the residual samples and matrix-based intra prediction (MIP) mode information,

wherein the MIP mode information is index information related to an MIP matrix applied to the current block;

wherein a syntax element bin string for the MIP mode information is binarized by a truncated binarization method,

wherein a maximum length of the syntax element bin string is set to different three values based on a size of the current block, and

wherein the maximum length has a largest value based on a width and a height of the current block being 4.

7. The image encoding method of claim 6 , wherein the MIP mode information is encoded in a bypass method.

8. The image encoding method of claim 6 , wherein the MIP matrix is selected from any one of three matrix sets classified according to the size of the current block,

wherein each of the three matrix sets includes a plurality of MIP matrices, and

wherein the MIP mode information is index information related to any one of the plurality of MIP matrices included in one matrix set.

9. The image encoding method of claim 6 , wherein the generating of the intra prediction samples comprises:

deriving reduced boundary samples by downsampling reference samples adjacent to the current block;

deriving reduced prediction samples based on a multiplication operation of the reduced boundary samples and an MIP matrix; and

generating the intra prediction samples for the current block by upsampling the reduced prediction samples.

10. A non-transitory computer-readable digital storage medium that stores a bitstream generated by a method, the method comprising:

deriving whether matrix-based intra prediction (MIP) is applied to a current block;

deriving intra prediction samples for the current block based on the MIP when the MIP is applied to the current block;

deriving residual samples for the current block based on the intra prediction samples; and

encoding information on the residual samples and matrix-based intra prediction (MIP) mode information to generate the bitstream,

wherein the MIP mode information is index information related to an MIP matrix applied to the current block,

wherein a syntax element bin string for the MIP mode information is binarized by a truncated binarization method,

wherein a maximum length of the syntax element bin string is set to different three values based on a size of the current block, and

wherein the maximum length has a largest value based on a width and a height of the current block being 4.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 15, 2021
From: SALEHIFAR, MEHDI; KIM, SEUNGHWAN
To: LG ELECTRONICS INC.
Reel/Frame 058117/0388 →
Continuity (3)
Continuation PCTKR2020007219 · Jun 3, 2020
Provisional Application 62856720 · Jun 3, 2019
Related Publication 20220078449A1 · Mar 10, 2022
Cited By (1)
US 12,238,299