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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.
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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.
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公开(公告)号:US20230366682A1
公开(公告)日:2023-11-16
申请号:US18227345
申请日:2023-07-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Eunseo KIM , Yehoon KIM , Chanwon SEO , Inhak NA , Myungjin EOM
IPC: G01C21/20 , G06V20/64 , G06V20/10 , G06V10/764 , G06V10/82
CPC classification number: G01C21/206 , G06V20/64 , G06V20/10 , G06V10/764 , G06V10/82
Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.
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公开(公告)号:US20200372911A1
公开(公告)日:2020-11-26
申请号:US16770243
申请日:2018-12-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chanwon SEO , Yehoon KIM , Sojung YUN
Abstract: Provided are a speech recognition device and method. The speech recognition device includes a microphone and a processor configured to receive a voice signal through the microphone, generate voice characteristic data by analyzing the voice signal by using a data recognition model based on a neural network, determine whether the voice signal is voice uttered from a user or voice output from an external device based on the voice characteristic data, and when the voice signal is determined as the voice uttered from the user, determine the voice signal as a voice command of the user and perform an operation corresponding to the voice command.The present disclosure also relates to an artificial intelligence (AI) system utilizing a machine learning algorithm such as deep learning, and applications thereof.
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公开(公告)号:US20200166996A1
公开(公告)日:2020-05-28
申请号:US16570269
申请日:2019-09-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chanwon SEO , Yehoon KIM
Abstract: A display apparatus and a controlling method thereof. The display apparatus may include: a camera, a display, and a processor, where the processor controls the display to display a content, identifies a user interest object in the content displayed on the display based on a user image captured by the camera, and identifies a user preference for the content based on a degree of similarity between information on emotion of the user interest object and information on user emotion.
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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.
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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.
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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.
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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.
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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.
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