IP Library Granted Patent US 12,143,626
Granted Patent B2
US 12,143,626 · App. 18/199,238 · Granted Nov 12, 2024

Systems, apparatus and methods for inter prediction refinement with optical flow

Inventors: Jiancong Luo (Skillman, NJ); Yuwen He (San Diego, CA)
Assignee: InterDigital VC Holdings, Inc.
H04N19/52H04N19/105H04N19/132H04N19/139H04N19/167H04N19/176H04N19/55
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Quick Facts
Patent No.
US 12,143,626
App. No.
18/199,238
Granted
Nov 12, 2024
Kind
B2
Abstract

Method, apparatus and systems are disclosed. In one embodiment, a method of decoding includes obtaining a sub-block based motion prediction signal for a current block of the video; obtaining one or more spatial gradients of the sub-block based motion prediction signal or one or more motion vector difference values; obtaining a refinement signal for the current block based on the one or more obtained spatial gradients or the one or more obtained motion vector difference values; obtaining a refined motion prediction signal for the current block based on the sub-block based motion prediction signal and the refinement signal; and decoding the current block based on the refined motion prediction signal.

Claims (44)

1. A method of decoding a video, the method comprising:

generating a sub-block-based motion prediction signal for a sub-block of a block of a picture based on an affine motion model associated with said block;

determining a set of pixel-level motion vector difference values for said sub-block using said affine motion model associated with said block, wherein a pixel-level motion vector difference for a sample is based on a difference between a location of said sample and a center position of said sub-block;

determining spatial gradients of said sub-block-based motion prediction signal, for each sample location of said sub-block;

determining a motion prediction refinement signal for said sub-block, based on said determined set of pixel-level motion vector difference values and said determined spatial gradients;

combining said motion prediction signal and said motion prediction refinement signal to produce a refined motion prediction signal for said sub-block; and

decoding the video using the refined motion prediction signal.

2. The method of claim 1 , wherein said motion prediction refinement signal is determined based on optical flow.

3. The method of claim 1 , wherein said motion prediction refinement signal for said sub-block is clipped before being combined with said motion prediction signal to produce said refined motion prediction signal.

4. The method of claim 3 , wherein said clipping is based on a bit depth of prediction samples of said block.

5. A computer readable storage medium having stored thereon instructions for decoding video data according to the method of claim 1 .

6. A method of encoding a video, the method comprising:

generating a sub-block-based motion prediction signal for a sub-block of a block of a picture based on an affine motion model associated with said block;

determining a set of pixel-level motion vector difference values for said sub-block using said affine motion model associated with said block, wherein a pixel-level motion vector difference for a sample is based on a difference between a location of said sample and a center position of said sub-block;

determining spatial gradients of said sub-block-based motion prediction signal, for each sample location of said sub-block;

determining a motion prediction refinement signal for said sub-block, based on said determined set of pixel-level motion vector difference values and said determined spatial gradients;

combining said motion prediction signal and said motion prediction refinement signal to produce a refined motion prediction signal for said sub-block; and

encoding the video using the refined motion prediction signal.

7. The method of claim 6 , wherein said motion prediction refinement signal is determined based on optical flow.

8. The method of claim 6 , wherein said motion prediction refinement signal for said sub-block is clipped before being combined with said motion prediction signal to produce said refined motion prediction signal.

9. The method of claim 8 , wherein said clipping is based on a bit depth of prediction samples of said block.

10. A computer readable storage medium having stored thereon instructions for decoding video data according to the method of claim 6 .

11. An apparatus for decoding a video, comprising a processor configured to:

generate a sub-block-based motion prediction signal for a sub-block of a block of a picture based on an affine motion model associated with said block;

determine a set of pixel-level motion vector difference values for said sub-block using said affine motion model associated with said block, wherein a pixel-level motion vector difference for a sample is based on a difference between a location of said sample and a center position of said sub-block;

determine spatial gradients of said sub-block-based motion prediction signal, for each sample location of said sub-block;

determine a motion prediction refinement signal for said sub-block, based on said determined set of pixel-level motion vector difference values and said determined spatial gradients;

combine said motion prediction signal and said motion prediction refinement signal to produce a refined motion prediction signal for said sub-block; and

decode the video using the refined motion prediction signal.

12. The apparatus of claim 11 , wherein said motion prediction refinement signal is determined based on optical flow.

13. The apparatus of claim 11 , wherein said motion prediction refinement signal for said sub-block is clipped before being combined with said motion prediction signal to produce said refined motion prediction signal.

14. The apparatus of claim 13 , wherein said clipping is based on a bit depth of prediction samples of said block.

15. The apparatus of claim 11 , wherein a precision of said spatial gradients is kept at a same precision as said sub-block-based motion prediction signal for said sub-block.

16. An apparatus for encoding a video, comprising a processor configured to:

generate a sub-block-based motion prediction signal for a sub-block of a block of a picture based on an affine motion model associated with said block;

determine a set of pixel-level motion vector difference values for said sub-block using said affine motion model associated with said block, wherein a pixel-level motion vector difference for a sample is based on a difference between a location of said sample and a center position of said sub-block;

determine spatial gradients of said sub-block-based motion prediction signal, for each sample location of said sub-block;

determine a motion prediction refinement signal for said sub-block, based on said determined set of pixel-level motion vector difference values and said determined spatial gradients;

combine said motion prediction signal and said motion prediction refinement signal to produce a refined motion prediction signal for said sub-block; and

encode the video using the refined motion prediction signal.

17. The apparatus of claim 16 , wherein said motion prediction refinement signal is determined based on optical flow.

18. The apparatus of claim 16 , wherein said motion prediction refinement signal for said sub-block is clipped before being combined with said motion prediction signal to produce said refined motion prediction signal.

19. The apparatus of claim 18 , wherein said clipping is based on a bit depth of prediction samples of said block.

20. The apparatus of claim 16 , wherein a precision of said spatial gradients is kept at a same precision as said sub-block-based motion prediction signal for said sub-block.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 11, 2024
From: VID SCALE, INC.
To: INTERDIGITAL VC HOLDINGS, INC.
Reel/Frame 068284/0031 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 22, 2023
From: LUO, JIANCONG; HE, YUWEN
To: VID SCALE, INC.
Reel/Frame 063714/0376 →
Continuity (5)
Continuation 17426976
Provisional Application 62833999 · Apr 15, 2019
Provisional Application 62814611 · Mar 6, 2019
Provisional Application 62802428 · Feb 7, 2019
Related Publication 20230291927A1 · Sep 14, 2023
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