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:
Jul. 28, 2026

Filed:

Oct. 02, 2023
Applicant:

Huawei Technologies Co., Ltd., Shenzhen, CN;

Inventors:

Timofey Mikhailovich Solovyev, Munich, DE;

Elena Alexandrovna Alshina, Munich, DE;

Biao Wang, Shenzhen, CN;

Alexander Alexandrovich Karabutov, Munich, DE;

Mikhail Vyacheslavovich Sosulnikov, Munich, DE;

Georgy Petrovich Gaikov, Munich, DE;

Han Gao, Shenzhen, CN;

Panqi Jia, Munich, DE;

Esin Koyuncu, Munich, DE;

Sergey Yurievich Ikonin, Moscow, RU;

Semih Esenlik, Munich, DE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); H04N 19/513 (2014.01); H04N 19/91 (2014.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/7715 (2022.01); G06V 20/46 (2022.01); H04N 19/521 (2014.11); H04N 19/91 (2014.11);
Abstract

This application provides methods and apparatuses for processing of picture data or picture feature data using a neural network with two or more layers. The present disclosure may be applied in the field of artificial intelligence (AI)-based video or picture compression technologies, and in particular, to the field of neural network-based video compression technologies. According to some embodiments, two kinds of data are combined during the processing including processing by the neural network. The two kinds of data are obtained from different stages of processing by the network. Some of the advantages may include greater scalability and a more flexible design of the neural network architecture which may further lead to better encoding/decoding performance.


Find Patent Forward Citations

Loading…