-
公开(公告)号:US20220377416A1
公开(公告)日:2022-11-24
申请号:US17881135
申请日:2022-08-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chanwon SEO , Yehoon KIM , Sojung YUN
IPC: H04N21/4402 , G06V20/40 , H04N21/466 , H04N21/44 , G06N3/08
Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.
-
公开(公告)号:US20240031644A1
公开(公告)日:2024-01-25
申请号:US18470173
申请日:2023-09-19
Applicant: SAMSUNG ELECTRONICS CO, LTD.
Inventor: Chanwon SEO , Yehoon KIM , Sojung YUN
IPC: H04N21/4402 , G06N3/08 , H04N21/44 , H04N21/466 , G06V20/40
CPC classification number: H04N21/440272 , G06N3/08 , H04N21/44008 , H04N21/4666 , G06V20/41 , G06V20/46
Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.
-
公开(公告)号:US20220067368A1
公开(公告)日:2022-03-03
申请号:US17416041
申请日:2019-08-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Yehoon KIM , Chanwon SEO
Abstract: Provided is a method, performed by an electronic device, of recognizing an object included in an image, the method including: extracting first object information from a first object included in a first image, obtaining a learning model for generating an image including a second object from the first object information, generating a second image including the second object by inputting the first object information to the learning model, comparing the first image with the second image, and recognizing the first object as the second object in the first image, based on a result of the comparing.
-
公开(公告)号:US20210084372A1
公开(公告)日:2021-03-18
申请号:US16959477
申请日:2019-01-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chanwon SEO , Yahoon KIM , Sojung YUN
IPC: H04N21/4402 , H04N21/466 , G06N3/08 , H04N21/44 , G06K9/00
Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an Al neural network.
-
公开(公告)号:US20200371895A1
公开(公告)日:2020-11-26
申请号:US16768452
申请日:2018-12-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Yehoon KIM , Chanwon SEO , Sojung YUN , Junik JANG
Abstract: An electronic device and a method for controlling the same are disclosed. The method for controlling an electronic device according to the present disclosure comprises the steps of: detecting at least one user and acquiring user information of the detected at least one user; determining a user mode on the basis of the acquired user information; determining a service to be provided to the detected at least one user, by inputting the user information and the determined user mode as input data to a model learned by an artificial intelligence algorithm; and providing the determined service corresponding to the user mode. A method for providing the service by the electronic device may at least partially use an artificial intelligence model learned according to at least one of machine learning, neural network, and deep learning algorithms.
-
公开(公告)号:US20240427481A1
公开(公告)日:2024-12-26
申请号:US18827023
申请日:2024-09-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chanwon SEO , Youngeun Lee , Eunseo KIM , Myungjin Eom
IPC: G06F3/04845 , G06F18/214 , G06F18/22 , G06N3/08 , G06T5/00 , G06V10/82 , G06V20/00 , G06V40/16
Abstract: An electronic device and a controlling method thereof are provided. An electronic device includes a memory configured to store at least one instruction and a processor configured to execute the at least one instruction and operate as instructed by the at least one instruction. The processor is configured to: obtain a first image; based on receiving a first user command to correct the first image, obtain a second image by correcting the first image; based on the first image and the second image, train a neural network model; and based on receiving a second user command to correct a third image, obtain a fourth image by correcting the third image using the trained neural network model.
-
公开(公告)号:US20240095972A1
公开(公告)日:2024-03-21
申请号:US18524905
申请日:2023-11-30
Applicant: Samsung Electronics Co., Ltd.
Inventor: Lei ZHANG , Yehoon KIM , Chanwon SEO
Abstract: Provided is an image processing method according to an embodiment, which includes: obtaining a label of a first image by inputting the first image to a recognition model; obtaining reference style data for a target reference image to which a visual sentiment label is assigned, the visual sentiment label being the same as the obtained label from among visual sentiment labels pre-assigned to reference images; generating second style data based on first style data for the first image and the obtained reference style data; and generating a second image based on the generated second style data.
-
公开(公告)号:US20210232863A1
公开(公告)日:2021-07-29
申请号:US17156086
申请日:2021-01-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chanwon SEO , Youngeun LEE , Eunseo KIM , Myungjin EOM
IPC: G06K9/62 , G06F3/0484 , G06K9/00 , G06T5/00 , G06N3/08
Abstract: An electronic device and a controlling method thereof are provided. An electronic device includes a memory configured to store at least one instruction and a processor configured to execute the at least one instruction and operate as instructed by the at least one instruction. The processor is configured to: obtain a first image; based on receiving a first user command to correct the first image, obtain a second image by correcting the first image; based on the first image and the second image, train a neural network model; and based on receiving a second user command to correct a third image, obtain a fourth image by correcting the third image using the trained neural network model.
-
公开(公告)号:US20250142164A1
公开(公告)日:2025-05-01
申请号:US19010367
申请日:2025-01-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chanwon SEO , Yehoon Kim , Sojung Yun
IPC: H04N21/4402 , G06N3/08 , G06V20/40 , H04N21/44 , H04N21/466
Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.
-
公开(公告)号:US20240071115A1
公开(公告)日:2024-02-29
申请号:US18238897
申请日:2023-08-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyosang KIM , Younguk KIM , Yehoon KIM , Jongyeong KIM , Hyunhan KIM , Chanwon SEO , Hyein HYUN
IPC: G06V30/148 , G06V10/94 , G06V20/62 , G06V30/19
CPC classification number: G06V30/155 , G06V10/945 , G06V20/62 , G06V30/153 , G06V30/19107
Abstract: A method performed by a server, may include: obtaining an image including a first text and a second text overlapping the first text; separating a first text region corresponding to the first text from the image; extracting pixels corresponding to the first text from the first text region to obtain an undamaged portion and a damaged portion of the first text; and reconstructing the first text by inpainting the damaged portion of the first text in which the first text overlaps the second text in the image.
-
-
-
-
-
-
-
-
-