US 12,289,446 B2
Systems and methods for signaling neural network post-filter tensor information in video coding
Sachin G. Deshpande, Camas, WA (US)
Assigned to Sharp Kabushiki Kaisha, Sakai (JP)
Filed by SHARP KABUSHIKI KAISHA, Sakai (JP)
Filed on Feb. 22, 2023, as Appl. No. 18/112,632.
Claims priority of provisional application 63/438,653, filed on Jan. 12, 2023.
Prior Publication US 2024/0244196 A1, Jul. 18, 2024
Int. Cl. H04N 19/117 (2014.01); H04N 19/186 (2014.01); H04N 19/70 (2014.01); H04N 19/80 (2014.01); H04N 19/85 (2014.01)
CPC H04N 19/117 (2014.11) [H04N 19/186 (2014.11); H04N 19/70 (2014.11); H04N 19/80 (2014.11); H04N 19/85 (2014.11)] 5 Claims
OG exemplary drawing
 
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 in the neural network post-filter characteristics message, wherein the first syntax element equal to 0 indicates that sample values output by a post-processing filter are real numbers and the first syntax element equal to 1 indicates that luma sample values and chroma sample values output by the post-processing filter are unsigned integer numbers;
parsing a second syntax element in the neural network post-filter characteristics message, wherein the second syntax element plus eight specifies a bit depth of luma sample values in an output integer tensor; and
parsing a third syntax element in the neural network post-filter characteristics message, wherein the third syntax element plus eight specifies the bit depth of chroma sample values in the output integer tensor.