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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: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:US20240212782A1
公开(公告)日:2024-06-27
申请号:US18226340
申请日:2023-07-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Changho YUN , Sungjoon KIM , Yukyoung KIM , Chaeeun Lee , Jongwon Jeong
CPC classification number: G11C29/46 , G11C29/1201 , G11C29/44
Abstract: A memory system including: a memory module including a plurality of memory chips; a mirror memory module including a plurality of mirror memory chips corresponding to the plurality of memory chips, a first mirror memory chip of the plurality of mirror memory chips being storing same data as a first memory chip of the plurality of memory chips; and a memory controller configured to, in a system running state in which an operation according to a request of a user is capable of being performed after the memory system is booted, provide the memory module with a command for instructing a normal operation to be performed and provide the mirror memory module with a command for instructing a memory built-in self-test (MBIST) to be performed.
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公开(公告)号:US20250046122A1
公开(公告)日:2025-02-06
申请号:US18907042
申请日:2024-10-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Vishakha S R , Bindigan Hariprasanna Pawan Prasad , Green Rosh K S , Akula Jayaprakash , Meghana Shankar , Prateek Kukreja , Shubham Mallik Thakur , Sagar Parmar , Mukesh Jha , Sungsoo Choi , Hyuntaek Woo , Chaeeun Lee , Beomsu Kim
IPC: G06V40/20 , A63F13/213 , A63F13/428 , G06F3/01 , G06V10/75 , G06V10/77
Abstract: There is provided a method and apparatus for performing gesture recognition in an electronic device, including: tracking a visible trajectory of a hand of a user from a plurality of frames captured by the electronic device, identifying, by the electronic device, a first frame where the hand of the user has gone out of a Field of View (FOV) of the electronic device, identifying the second frame where the hand of the user has come back into the FOV, predicting, using an Artificial Intelligence (AI) model, a trajectory of the hand of the user using one or more frames captured before the first frame, and one or more frames captured after the second frame, and recognizing at least one hand gesture performed during the visible trajectory of the hand of the user, and the predicted trajectory of the hand of the user.
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公开(公告)号:US11223841B2
公开(公告)日:2022-01-11
申请号:US17333541
申请日:2021-05-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaehwan Kim , Youngo Park , Chaeeun Lee , Kwangpyo Choi
IPC: H04N19/00 , H04N19/44 , G06N3/04 , H04N19/85 , H04N19/124
Abstract: An artificial intelligence (AI) decoding apparatus includes at least one processor configured to execute one or more instructions to: obtain a second image corresponding to a first image by performing first decoding on image data included in a main bitstream, obtain AI upscaling activation flag information included in AI data of a sub-bitstream, determine whether to perform AI upscaling on the second image, based on the AI upscaling activation flag information, when it is determined that AI upscaling is to be performed on the second image, obtain a third image by performing AI upscaling on the second image, through an upscaling deep neural network (DNN) set according to upscaling DNN information, the upscaling DNN information selected from among a plurality of pieces of pre-stored upscaling DNN information based on at least a portion of the image data and/or at least a portion of AI sub-data.
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公开(公告)号:US11816872B2
公开(公告)日:2023-11-14
申请号:US17503420
申请日:2021-10-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chaeeun Lee , Jaehwan Kim , Youngo Park
CPC classification number: G06T9/002 , G06N3/08 , G06T3/4046 , G06V10/454 , G06V10/82
Abstract: An apparatus for performing artificial intelligence (AI) encoding on an image includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: determine a resolution of an original image; when the resolution of the original image is higher than a predetermined value, obtain a first image by performing AI downscaling on the original image via a downscaling deep neural network (DNN); when the resolution of the original image is lower than or equal to the predetermined value, obtain a first image by performing AI one-to-one preprocessing on the original image via a one-to-one preprocessing DNN for upscaling; generate image data by performing first encoding on the first image; and transmit the image data and AI data including information related to the AI downscaling or information related to the AI one-to-one preprocessing.
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公开(公告)号:US20230085530A1
公开(公告)日:2023-03-16
申请号:US17895561
申请日:2022-08-25
Applicant: Samsung Electronics Co., Ltd.
Inventor: Chaeeun Lee , Jaehwan Kim , Youngo Park , Jongseok Lee , Kwangpyo Choi
IPC: H04N19/30 , H04N19/436 , H04N19/136 , H04N19/164
Abstract: Provided is an electronic device configured to participate in video conference by using artificial intelligence (AI), the electronic device including a display and a processor configured to execute one or more instructions. The processor configured to obtain, from a server, image data generated by first encoding first image related to another electronic device participating in video conference, and AI data related to AI downscaling from original image to first image, obtain second image corresponding to first image by performing first decoding on image data, determine whether to perform AI upscaling on second image, based on importance of the other electronic device, based on determining to perform AI upscaling, obtain third image by performing AI upscaling on second image through an upscaling deep neural network and provide third image to display, and based on determining not to perform AI upscaling, provide second image to display.
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公开(公告)号:US20220207650A1
公开(公告)日:2022-06-30
申请号:US17696518
申请日:2022-03-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jaehwan KIM , Jongseok Lee , Youngo Park , Chaeeun Lee
IPC: G06T3/40
Abstract: An AI decoding apparatus includes a memory storing instructions and a processor configured to execute the instructions to obtain AI data related to AI down-scaling of an original image and image data generated as a result of encoding a first image, obtain a second image corresponding to the first image by decoding the image data, determine a resolution ratio in a horizontal direction and a resolution ratio in a vertical direction between the original image and the first image, based on the AI data, and obtain, by an up-scaling deep neural network (DNN), a third image in which a resolution in at least one of a horizontal direction and a vertical direction is increased from the second image based on the resolution ratio in the horizontal direction and the resolution ratio in the vertical direction.
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公开(公告)号:US20220036596A1
公开(公告)日:2022-02-03
申请号:US17503420
申请日:2021-10-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chaeeun Lee , Jaehwan Kim , Youngo Park
Abstract: An apparatus for performing artificial intelligence (AI) encoding on an image includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: determine a resolution of an original image; when the resolution of the original image is higher than a predetermined value, obtain a first image by performing AI downscaling on the original image via a downscaling deep neural network (DNN); when the resolution of the original image is lower than or equal to the predetermined value, obtain a first image by performing AI one-to-one preprocessing on the original image via a one-to-one preprocessing DNN for upscaling; generate image data by performing first encoding on the first image; and transmit the image data and AI data including information related to the AI downscaling or information related to the AI one-to-one preprocessing.
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公开(公告)号:US12158809B2
公开(公告)日:2024-12-03
申请号:US18295457
申请日:2023-04-04
Applicant: Samsung Electronics Co., Ltd.
Inventor: Ho-Young Lee , Sung-Joon Kim , Ilho Kim , Kyungjin Park , Changho Yun , Jinhun Jeong , Insu Choi , Kyung-Hee Han , Yukyoung Kim , Jinwoo Kim , Chaeeun Lee , Yunmi Hwang
Abstract: Disclosed is an electronic device including a memory module that includes at least one dynamic random access memory, and a processor configured to access the memory module, determine a corrected error count associated with an address of a corrected error in response to the corrected error being detected when data are read from the memory module, read an error log associated with the corrected error, determine a risk level of the corrected error based on the error log, and schedule a post package repair (PPR) for the address of the corrected error in response to the risk level of the corrected error being high.
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