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:
Jan. 27, 2026

Filed:

Apr. 19, 2024
Applicant:

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

Inventors:

Jongin Lee, Suwon-si, KR;

Sehyun Kim, Suwon-si, KR;

Kwansik Yang, Suwon-si, KR;

Kilsoo Choi, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/466 (2011.01); G06F 3/14 (2006.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01); G06V 30/42 (2022.01); H04N 21/4363 (2011.01); H04N 21/443 (2011.01);
U.S. Cl.
CPC ...
H04N 21/4666 (2013.01); G06F 3/14 (2013.01); G06V 10/82 (2022.01); G06V 30/19173 (2022.01); G06V 30/42 (2022.01); H04N 21/43635 (2013.01); H04N 21/443 (2013.01);
Abstract

According to various embodiments, a display device and an operation method thereof are disclosed. The disclosed display device includes: a display, an input/output interface comprising circuitry, a communication interface comprising communication circuitry, a memory in which one or more instructions are stored, and at least one processor, comprising processing circuitry, individually and/or collectively, configured to execute the one or more instructions stored in the memory to cause the display device to: display an image screen received from an electronic device connected to the display device, determine whether execution of content starts by analyzing the displayed image screen using a first neural network model, call a second neural network model based on determining that the execution of the content starts, obtain attribute information of the content by analyzing the image screen of the content using the second neural network model, and control an execution environment of the content based on the obtained attribute information.


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