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公开(公告)号:US12223617B2
公开(公告)日:2025-02-11
申请号:US17893754
申请日:2022-08-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jongseok Lee , Pilkyu Park , Kwangpyo Choi , Jaehwan Kim , Youngo Park , Chaeeun Lee
IPC: G06T3/4046 , G06T7/00 , G06V10/56 , G06V10/77
Abstract: An electronic apparatus includes: a display; and a processor configured to: obtain a first image, identify an application used to obtain the first image, select neural network setting information corresponding to the identified application from among a plurality of pieces of neural network setting information, obtain a second image by artificial intelligence (AI)-upscaling the first image by using an upscaling neural network to which the selected neural network setting information is applied, and output the obtained second image via the display.
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公开(公告)号:US12211745B2
公开(公告)日:2025-01-28
申请号:US17558699
申请日:2021-12-22
Applicant: Samsung Electronics Co., Ltd.
Inventor: Uihyoung Lee , Honyun Park , Jongseok Lee , Sewan Kim , Taesung Lee
IPC: H01L21/768 , H01L21/285
Abstract: A method of fabricating a semiconductor device includes forming a dielectric layer on a lower structure. The method includes forming an opening to penetrate through the dielectric layer. The method includes alternately repeating a first operation, in which a first sputtering deposition process is performed to form a first metal pattern in the opening, and a second operation, in which a second sputtering deposition process is performed to form a second metal pattern in the opening, two or more times to form a first metal layer. The method includes forming a second metal layer on the first metal layer in an electroplating manner, and planarizing the first and second metal layers. Moreover, first and second process times, during which the first sputtering deposition process and the second sputtering deposition process, respectively, are performed, are each about five seconds or less.
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公开(公告)号:US11610341B2
公开(公告)日:2023-03-21
申请号:US17082442
申请日:2020-10-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jongseok Lee , Jaehwan Kim , Youngo Park
Abstract: An artificial intelligence (AI) decoding method including obtaining image data generated from performing first encoding on a first image and AI data related to AI down-scaling of at least one original image related to the first image; obtaining a second image corresponding to the first image by performing first decoding on the image data; obtaining, based on the AI data, deep neural network (DNN) setting information for performing AI up-scaling of the second image; and generating a third image by performing the AI up-scaling on the second image via an up-scaling DNN operating according to the obtained DNN setting information. The DNN setting information is DNN information updated for performing the AI up-scaling of at least one second image via joint training of the up-scaling DNN and a down-scaling DNN used for the AI down-scaling.
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公开(公告)号:US11159809B2
公开(公告)日:2021-10-26
申请号:US17080827
申请日:2020-10-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Pilkyu Park , Youngo Park , Jongseok Lee , Yumi Sohn , Myungjin Eom
IPC: H04N19/132 , H04N19/146 , H04N19/172 , H04N19/182 , H04N19/30 , H04N19/42 , H04N19/59 , H04N19/70 , H04N19/85
Abstract: Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.
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公开(公告)号:US10825139B2
公开(公告)日:2020-11-03
申请号:US16781083
申请日:2020-02-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号:US12229915B2
公开(公告)日:2025-02-18
申请号:US17895416
申请日:2022-08-25
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaehwan Kim , Youngo Park , Jongseok Lee , Chaeeun Lee , Kwangpyo Choi
IPC: G09G5/00 , G06T3/4046
Abstract: Provided is an electronic apparatus configured to provide an image based on artificial intelligence (AI), the electronic apparatus including a processor configured to execute one or more instructions stored in the electronic apparatus to obtain a first image by AI-downscaling an original image by a downscaling neural network, obtain first image data by encoding the first image, based on a display apparatus not supporting an AI upscaling function, obtain a second image by decoding the first image data, obtain a third image by AI-upscaling the second image by an upscaling neural network, and provide, to the display apparatus, second image data obtained by encoding the third image.
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公开(公告)号:US11688038B2
公开(公告)日:2023-06-27
申请号:US17575691
申请日:2022-01-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
CPC classification number: G06T3/4046 , G06N3/084 , G06N20/10 , G06T9/002 , H04N19/85 , G06T2207/20081 , G06T2207/20084
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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公开(公告)号:US11647210B2
公开(公告)日:2023-05-09
申请号:US17498859
申请日:2021-10-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Pilkyu Park , Youngo Park , Jongseok Lee , Yumi Sohn , Myungjin Eom
IPC: G06N3/04 , G06N3/08 , G06T3/40 , H04N19/132 , H04N19/146 , H04N19/172 , H04N19/182 , H04N19/184 , H04N19/30 , H04N19/42 , H04N19/59 , H04N19/70 , H04N19/85 , H04N19/50
CPC classification number: H04N19/30 , H04N19/146 , H04N19/172 , H04N19/42 , H04N19/70
Abstract: Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.
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公开(公告)号:US20220359282A1
公开(公告)日:2022-11-10
申请号:US17558699
申请日:2021-12-22
Applicant: Samsung Electronics Co., Ltd.
Inventor: Uihyoung Lee , Honyun Park , Jongseok Lee , Sewan Kim , Taesung Lee
IPC: H01L21/768 , H01L21/285
Abstract: A method of fabricating a semiconductor device includes forming a dielectric layer on a lower structure. The method includes forming an opening to penetrate through the dielectric layer. The method includes alternately repeating a first operation, in which a first sputtering deposition process is performed to form a first metal pattern in the opening, and a second operation, in which a second sputtering deposition process is performed to form a second metal pattern in the opening, two or more times to form a first metal layer. The method includes forming a second metal layer on the first metal layer in an electroplating manner, and planarizing the first and second metal layers. Moreover, first and second process times, during which the first sputtering deposition process and the second sputtering deposition process, respectively, are performed, are each about five seconds or less.
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公开(公告)号:US11288770B2
公开(公告)日:2022-03-29
申请号:US17079773
申请日:2020-10-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the stored one or more instructions, to obtain image data corresponding to a first image that is encoded, obtain a second image corresponding to the first image by decoding the obtained image data, determine whether to perform AI up-scaling of the obtained second image, based on the AI up-scaling of the obtained second image being determined to be performed, obtain a third image by performing the AI up-scaling of the obtained second image through an up-scaling deep neural network (DNN), and output the obtained third image, and based on the AI up-scaling of the obtained second image being determined to be not performed, output the obtained second image.
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