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:
Dec. 24, 2024

Filed:

May. 12, 2021
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventor:

Lin Ma, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/25 (2022.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/04 (2023.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06V 10/84 (2022.01); G06V 30/262 (2022.01); G06V 30/418 (2022.01);
U.S. Cl.
CPC ...
G06V 10/25 (2022.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/04 (2013.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 10/84 (2022.01); G06V 30/274 (2022.01); G06V 30/418 (2022.01);
Abstract

The present disclosure provides a method for locating an image region. The method comprises determining one or more regions in an image. Each of the regions corresponding to a respective candidate object in the image. The method comprises generating respective semantic information having a one-to-one correspondence with a corresponding candidate object in each of the regions. The method comprises obtaining respective enhanced semantic information corresponding to the respective semantic information using a graph convolutional network (GCN). A matching degree between a text feature set corresponding to a to-be-located text and each of the respective enhanced semantic information is obtained using an image region locating network model. The method further comprises determining a target image candidate region from the one or more regions according to the matching degree between the text feature set and each of the respective enhanced semantic information.


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