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. 08, 2025

Filed:

Nov. 11, 2021
Applicant:

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

Inventors:

Wentao Liu, Maple, CA;

Seyed Mehdi Ayyoubzadeh, Hamilton, CA;

Yuanhao Yu, Markham, CA;

Irina Kezele, North York, CA;

Yang Wang, Winnipag, CA;

Xiaolin Wu, Ancaster, CA;

Jin Tang, Markham, CA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06T 7/248 (2017.01); G06N 20/00 (2019.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01);
Abstract

There is provided a method, apparatus and system for adapting a machine learning model for optical flow prediction. A machine learning model can be trained or adapted based on compressed video data, using motion vector information extracted from the compressed video data as ground-truth information for use in adapting the model to a motion vector prediction task. The model so adapted can accordingly be adapted for the similar task of optical flow prediction. Thus, the model can be adapted at test time to image data which is taken from an appropriate distribution. A meta-learning process can be performed prior to such model adaptation to potentially improve the model's performance.


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