The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 28, 2023

Filed:

Jan. 29, 2020
Applicant:

Nokia Technologies Oy, Espoo, FI;

Inventors:

Francesco Cricri, Tampere, FI;

Caglar Aytekin, Tampere, FI;

Miska Hannuksela, Tampere, FI;

Xingyang Ni, Tampere, FI;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/12 (2006.01); H04N 19/11 (2014.01); H04N 19/159 (2014.01); H04N 19/176 (2014.01); H04N 19/85 (2014.01); G06N 3/08 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
H04N 19/11 (2014.11); G06N 3/045 (2023.01); G06N 3/08 (2013.01); H04N 19/159 (2014.11); H04N 19/176 (2014.11); H04N 19/85 (2014.11);
Abstract

A method comprising: obtaining a configuration of at least one neural network comprising a plurality of intra-prediction mode agnostic layers and one or more intra-prediction mode specific layers, the one or more intra-prediction mode specific layers corresponding to different intra-prediction modes; obtaining at least one input video frame comprising a plurality of blocks; determining to encode one or more blocks using intra prediction; determining an intra-prediction mode for each of said one or more blocks; grouping blocks having same intra-prediction mode into groups, each group being assigned with a computation path among the plurality of intra-prediction mode agnostic and the one or more intra-prediction mode specific layers; training the plurality of intra-prediction mode agnostic and/or the one or more intra-prediction mode specific layers of the neural networks based on a training loss between an output of the neural networks relating to a group of blocks and ground-truth blocks, wherein the ground-truth blocks are either blocks of the input video frame or reconstructed blocks; and encoding a block using a computation path assigned to an intra-prediction mode for the block.


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