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:
Jun. 13, 2023

Filed:

Apr. 04, 2018
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Do Gon Kim, Daegu, KR;

Kyung Su Kim, Seoul, KR;

Sung Jin Kim, Yongin-si, KR;

Kumar Ankit, Seoul, KR;

Gang Hui Lee, Suwon-si, KR;

Hyung Min Lee, Seoul, KR;

Jae Hyun Park, Seoul, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/70 (2022.01); G06V 20/20 (2022.01); G06N 3/04 (2023.01); G06Q 30/0601 (2023.01); G06V 10/764 (2022.01); G06V 30/19 (2022.01); G06F 18/243 (2023.01);
U.S. Cl.
CPC ...
G06V 20/20 (2022.01); G06F 18/24323 (2023.01); G06N 3/04 (2013.01); G06Q 30/0627 (2013.01); G06V 10/70 (2022.01); G06V 10/764 (2022.01); G06V 30/19173 (2022.01);
Abstract

The present invention relates to an artificial intelligence (AI), which emulates functions of a human brain, such as recognition and reasoning, by utilizing a machine learning algorithm such as deep learning, and relates to context awareness based artificial intelligence application technology for obtaining interest information of a user from an image displayed to the user. An electronic device, according to one embodiment of the present invention acquires context data related to the image, and uses the context data to select a node of interest corresponding to the context data from among nodes of an index tree for searching for sample images which correspond to candidate objects extracted from the image by using a model generated as a result of machine learning, wherein the node of interest is selected by using a result of comparison between a subject of each node of the index tree and the context data; and an object of interest is selected from among the candidate objects included in the image by using the node of interest.


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