IP Library Granted Patent US 11,785,254
Granted Patent B2
US 11,785,254 · App. 17/066,791 · Granted Oct 10, 2023

Implicit mode dependent primary transforms

Inventors: Madhu Peringassery Krishna (Mountain View, CA); Xin Zhao (San Diego, CA); Shan Liu (San Jose, CA)
Assignee: TENCENT AMERICA LLC
H04N19/593H04N19/159H04N19/176H04N19/70
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Quick Facts
Patent No.
US 11,785,254
App. No.
17/066,791
Granted
Oct 10, 2023
Kind
B2
Abstract

A method, computer program, and computer system is provided for coding video data. Video data is received, and a set of hybrid transform kernels corresponding to the video data is identified. A subset of hybrid transform kernels is selected, either explicitly or implicitly, from among the set of hybrid transform kernels. The video data is decoded based on the selected subset of hybrid transform kernels.

Claims (28)

1. A method for coding video data, executable by a processor, the method comprising:

receiving video data;

identifying a set of hybrid transform kernels corresponding to the video data;

selecting a subset of hybrid transform kernels from among the set of hybrid transform kernels; and

decoding the video data based on the subset of hybrid transform kernels that is selected,

wherein the set of hybrid transform kernels comprise a plurality of pairs of transform types, each of the plurality of pairs including a vertical transform type and a horizontal transform type, and for at least a portion of the plurality of pairs of transform types, at least one of the vertical transform type and the horizontal transform type of the pair is a line graph transform (LGT),

wherein the plurality of pairs of transform types comprises a pair including a discrete cosine transform (DCT) vertical transform type and a DCT horizontal transform type, a pair including a line graph transform (LGT) vertical transform type and an LGT horizontal transform type, a pair including a DCT vertical transform type and an LGT horizontal transform type, and a pair including an LGT vertical transform type and a DCT horizontal transform type.

2. The method of claim 1 , wherein the subset of hybrid transform kernels is selected implicitly, based on coded information that is available to both encoder and decoder.

3. The method of claim 2 , wherein the subset of hybrid transform kernels is selected based on both of an intra prediction mode and a block size associated with the video data.

4. The method of claim 3 , wherein the subset of hybrid transform kernels is selected based on one or more of DC, SMOOTH, SMOOTH_H, SMOOTH_V, V_PRED, H_PRED, chroma-from-luma, and Paeth modes.

5. The method of claim 1 , wherein the subset of hybrid transform kernels is selected explicitly.

6. The method of claim 5 , wherein the subset of hybrid transform kernels is identified by a syntax element signaled in a bitstream associated with the video data.

7. The method of claim 5 , wherein an explicit transform scheme is applied for all intra prediction modes.

8. The method of claim 7 , wherein a number of hybrid transform candidates is different for different intra prediction modes.

9. The method of claim 5 , wherein an explicit transform scheme is used for a subset of the intra prediction modes.

10. The method of claim 1 , wherein the subset of hybrid transform kernels is switched between explicit and implicit based on signaling at a high-level syntax or at a block level.

11. A computer system for video decoding, comprising:

one or more computer-readable non-transitory storage media configured to store computer program code; and one or more computer processors configured to access said computer program code and operate according to said computer program code, the computer program code including:

receiving code configured to cause at least one of the one or more computer processors to receive video data; identifying code configured to cause at least one of the one or more computer processors to identify a set of hybrid transform kernels corresponding to the video data; selecting code configured to cause at least one of the one or more computer processors to select a subset of hybrid transform kernels from among the set of hybrid transform kernels; and decoding code configured to cause at least one of the one or more computer processors to decode the video data based on the subset of hybrid transform kernels that is selected, wherein the set of hybrid transform kernels comprise a plurality of pairs of transform types, each of the plurality of pairs of transform types including a vertical transform type and a horizontal transform type, and for at least a portion of the plurality of pairs of transform types, at least one of the vertical transform type and the horizontal transform type of the pair is a line graph transform (LGT), wherein the plurality of pairs of transform types comprises a pair including a discrete cosine transform (DCT) vertical transform type and a DCT horizontal transform type, a pair including a line graph transform (LGT) vertical transform type and an LGT horizontal transform type, a pair including a DCT vertical transform type and an LGT horizontal transform type, and a pair including an LGT vertical transform type and a DCT horizontal transform type.

12. The computer system of claim 11 , wherein the subset of hybrid transform kernels is selected implicitly, based on coded information that is available to both encoder and decoder.

13. The computer system of claim 12 , wherein the subset of hybrid transform kernels is selected based on both of an intra prediction mode and a block size associated with the video data.

14. The computer system of claim 13 , wherein the subset of hybrid transform kernels is selected based on one or more of DC, SMOOTH, SMOOTH_H, SMOOTH_V, V_PRED, H_PRED, chroma-from-luma, and Paeth modes.

15. The computer system of claim 11 , wherein the subset of hybrid transform kernels is selected explicitly.

16. The computer system of claim 15 , wherein the subset of hybrid transform kernels is identified by a syntax element signaled in a bitstream associated with the video data.

17. The computer system of claim 15 , wherein an explicit transform scheme is applied for all intra prediction modes.

18. The computer system of claim 17 , wherein a number of hybrid transform candidates is different for different intra prediction modes.

19. The computer system of claim 11 , wherein the subset of hybrid transform kernels is switched between explicit and implicit based on signaling at a high-level syntax or at a block level.

20. A non-transitory computer readable medium for video decoding that stores a computer program which, when executed by one or more computer processors, causes the one or more computer processors to at least: receive video data; identify a set of hybrid transform kernels corresponding to the video data; select a subset of hybrid transform kernels from among the set of hybrid transform kernels; and decode the video data based on the subset of hybrid transform kernels that is selected, wherein the set of hybrid transform kernels comprise a plurality of pairs of transform types, each of the plurality of pairs of transform types including a vertical transform type and a horizontal transform type, and for at least a portion of the plurality of pairs of transform types, at least one of the vertical transform type and the horizontal transform type of the pair is a line graph transform (LGT), wherein the plurality of pairs of transform types comprises a pair including a discrete cosine transform (DCT) vertical transform type and a DCT horizontal transform type, a pair including a line graph transform (LGT) vertical transform type and an LGT horizontal transform type, a pair including a DCT vertical transform type and an LGT horizontal transform type, and a pair including an LGT vertical transform type and a DCT horizontal transform type.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2020
From: KRISHNA, MADHU PERINGASSERY; ZHAO, XIN; LIU, SHAN
To: TENCENT AMERICA LLC
Reel/Frame 054018/0068 →
Continuity (2)
Provisional Application 63032216 · May 29, 2020
Related Publication 20210377563A1 · Dec 2, 2021