US 12,407,871 B2
Systems and methods for signaling neural network post-filter frame rate upsampling information in video coding
Sachin G. Deshpande, Camas, WA (US); and Ahmed Cheikh Sidiya, Morgantown, WV (US)
Assigned to SHARP KABUSHIKI KAISHA, Sakai (JP)
Filed by SHARP KABUSHIKI KAISHA, Sakai (JP)
Filed on May 22, 2024, as Appl. No. 18/671,980.
Application 18/671,980 is a continuation of application No. 17/964,856, filed on Oct. 12, 2022, granted, now 12,034,976.
Prior Publication US 2024/0340457 A1, Oct. 10, 2024
Int. Cl. H04N 19/70 (2014.01); H04N 19/42 (2014.01); H04N 19/80 (2014.01); H04N 19/85 (2014.01)
CPC H04N 19/70 (2014.11) [H04N 19/42 (2014.11); H04N 19/80 (2014.11); H04N 19/85 (2014.11)] 3 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 plus 1 specifies a number of input pictures used as input for a neural network post-filter;
parsing a second syntax element in the neural network post-filter characteristics message, wherein the second syntax element is used to calculate a number of output pictures;
deriving an input tensor of dimensions, wherein one dimension of the input tensor of dimensions corresponds to the number of input pictures; and
generating an output tensor of dimensions, wherein a first dimension of the output tensor of dimensions corresponds to the number of output pictures.