Granted Patent B2

US 12,262,060 · App. 18/113,345 · Granted Mar 25, 2025

Inventors: Sachin G. Deshpande (Camas, WA); Ahmed Cheikh Sidiya (Morgantown, WV)

Assignee: Sharp Kabushiki Kaisha

H04N19/80H04N19/70H04N19/85

Abstract

Claims (13)

1. A method of performing neural network filtering for video data, the method comprising:

receiving a neural network post-filter characteristics message;

parsing a first syntax element from the neural network post-filter characteristics message indicating whether (i) a second syntax element and a third syntax element are present in the neural network post-filter characteristics message and a post-processing filter accepts a first patch size having a width equal to horizontal sample counts indicated by the second syntax element and a height equal to vertical sample counts indicated by the third syntax element, or (ii) a fourth syntax element and a fifth syntax element are present in the neural network post-filter characteristics message and the post-processing filter accepts a second patch size having a width equal to a multiple of horizontal sample counts indicated by the fourth syntax element and a height equal to a multiple of vertical sample counts indicated by the fifth syntax element; and

conditionally parsing the second syntax element and the third syntax element or the fourth syntax element and the fifth syntax element based on a value of the first syntax element.

2. A device comprising:

one or more processors configured to:

receive a neural network post-filter characteristics message;

parse a first syntax element from the neural network post-filter characteristics message indicating whether (i) a second syntax element and a third syntax element are present in the neural network post-filter characteristics message and a post-processing filter accepts a first patch size having a width equal to horizontal sample counts indicated by a the second syntax element and a height equal to vertical sample counts indicated by a the third syntax element, or (ii) a fourth syntax element and a fifth syntax element are present in the neural network post-filter characteristics message and the post-processing filter accepts a second patch size having a width equal to a multiple of horizontal sample counts indicated by the fourth syntax element and a height equal to a multiple of vertical sample counts indicated by the fifth syntax element; and

conditionally parse the second syntax element and the third syntax element or the fourth syntax element and the fifth syntax element based on a value of the first syntax element.

3. The device of claim 2 , wherein the device includes a video decoder.

4. A device comprising;

one or more processors configured to: signal a neural network post-filter characteristics message; signal a first syntax element in the neural network post-filter characteristics message indicating whether (i) a second syntax element and a third syntax element are present in the neural network post-filter characteristics message and a post-processing filter accepts a first patch size having a width equal to horizontal sample counts indicated by the second syntax element and a height equal to vertical sample counts indicated by the third syntax element, or (ii) a fourth syntax element and a fifth syntax element are present in the neural network post-filter characteristics message and the post-processing filter accepts a second patch size having a width equal to a multiple of horizontal sample counts indicated by the fourth syntax element and a height equal to a multiple of vertical sample counts indicated by the fifth syntax element; and conditionally signal the second syntax element and the third syntax element or the fourth syntax element and the fifth syntax element based on a value of the first syntax element.

5. The device of claim 4 , wherein the device includes a video encoder.

Assignments (1)

Continuity (2)

References Cited (17)