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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.

Patent No.:

US 11804069 B1

PDFFull Text
Date of Patent:
Oct. 31, 2023

Filed:

Aug. 09, 2021

Image clustering method and apparatus, and storage medium

Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Lu Gan, Beijing, CN;

Yan Fu, Beijing, CN;

Yangjie Zhou, Beijing, CN;

Lianghui Chen, Beijing, CN;

Shunnan Xu, Beijing, CN;

Assignee:

BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD., Beijing, CN;

Attorney:

Maschoff Brennan

Primary Examiner:

Emily C Terrell

Assistant Examiner:

Nathan J Bloom

Int. Cl.
CPC ...
G06V 40/16 (2022.01); G06F 18/232 (2023.01); G06F 18/22 (2023.01); G06F 18/25 (2023.01); G06V 10/762 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06F 18/23 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06F 18/23213 (2023.01); G06F 18/2413 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06V 40/168 (2022.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/232 (2023.01); G06F 18/23213 (2023.01); G06F 18/24137 (2023.01); G06F 18/25 (2023.01); G06F 18/253 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06V 10/454 (2022.01); G06V 10/762 (2022.01); G06V 10/763 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01); G06N 3/08 (2013.01);
Abstract

The disclosure provides an image clustering method and an image clustering apparatus. The method includes: obtaining new images, and clustering the new images to obtain a first cluster; determining a historical cluster similar to the first cluster as a second cluster from existing historical clusters; obtaining a distance between the first cluster and the second cluster; and generating a target cluster by fusing the first cluster and the second cluster based on the distance. In the image clustering method, with the image clustering apparatus of the disclosure, secondary clustering processing performed on the existing historical clusters based on newly added images is not required, new and old clusters are directly fused.

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