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:
Sep. 22, 2026

Filed:

Apr. 07, 2022
Applicant:

Nokia Technologies Oy, Espoo, FI;

Inventors:

Hamed Rezazadegan Tavakoli, Espoo, FI;

Francesco Cricrì, Tampere, FI;

Emre Baris Aksu, Tampere, FI;

Miska Matias Hannuksela, Tampere, FI;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/124 (2014.01); G06N 3/063 (2023.01); H03M 7/30 (2006.01); H03M 7/40 (2006.01); H03M 7/46 (2006.01); H04N 19/70 (2014.01);
U.S. Cl.
CPC ...
H04N 19/124 (2014.11); G06N 3/063 (2013.01); H03M 7/3066 (2013.01); H03M 7/4075 (2013.01); H03M 7/46 (2013.01); H04N 19/70 (2014.11);
Abstract

An example apparatus, method, and computer program product are provided. The apparatus includes at least one processor; and at least one non-transitory memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to perform: encode or decode a high-level bitstream syntax for at least one neural network; wherein the high-level bitstream syntax comprises at least one information unit, wherein the at least one information unit comprises syntax definitions for the at least one neural network or a portion of the at least one neural network; and wherein a neural network representation (NNR) bitstream comprises one or more of the at least one information units, and wherein the syntax definitions provide one or more mechanisms for introducing a weight update compression interpretation into the NNR bitstream.


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