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:

Dec. 17, 2021
Applicants:

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

Korea Advanced Institute of Science and Technology, Daejeon, KR;

Inventors:

Kyungsu Kim, Suwon-si, KR;

Sungjin Kim, Suwon-si, KR;

Yunjae Jung, Daejeon, KR;

In-so Kweon, Daejeon, KR;

Dahun Kim, Daejeon, KR;

Sanghyun Woo, Daejeon, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06F 18/214 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 30/19 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/214 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 20/46 (2022.01); G06V 30/19 (2022.01);
Abstract

An electronic device and a method thereof are provided. The electronic device includes: a memory and a processor configured to: acquire feature data of a plurality of images in a video using a first artificial neural network of a first artificial intelligence model; acquire a plurality of key frames of the video based on the feature data of the plurality of images using a second artificial neural network of the first artificial intelligence model; acquire first feature data of remaining key frames excluding at least one of the plurality of key frames using a first artificial neural network of a second artificial intelligence model; acquire second feature data including information about relationships between the remaining key frames based on the first feature data using a second artificial neural network of the second artificial intelligence model; and acquire texts for the plurality of key frames based on the second feature data.


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