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公开(公告)号：US20210264567A1
公开(公告)日：2021-08-26
申请号：US17184250
申请日：2021-02-24
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Youngo PARK , Heechul YANG , Chaeeun LEE
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions to obtain image data generated through first encoding on a first image; obtain a second image corresponding to the first image by performing first decoding on the image data; perform pre-processing of changing a resolution of the second image, according to a pre-determined output resolution; and obtain a fourth image having the pre-determined output resolution by applying AI up-scaling based on an up-scaling deep neural network (DNN) to a third image obtained as a result of the pre-processing.
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公开(公告)号：US20240312176A1
公开(公告)日：2024-09-19
申请号：US18671412
申请日：2024-05-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Pawan Prasad BINDIGAN HARIPRASANNA , Green Rosh K S , Vishakha S R , Sungsoo CHOI , Hyuntaek WOO , Chaeeun LEE , Beomsu KIM
CPC classification number: G06V10/273 , G06V10/82 , G06V40/11
Abstract: A method performed by an electronic device for estimating a landmark point of a body part of subject by electronic device is provided. The method includes generating, by the electronic device, an initial coarse estimation of the landmark point of the body part using a light-weight deep neural network, determining, by the electronic device, an occluded region of the body part based on the generated initial coarse estimation of the landmark point using a segmentation mask, estimating, by the electronic device, the occlusion probability for the landmark point in the at least one occluded region and the generated initial coarse estimation, determining, by the electronic device, a correction factor for applying on the generated initial coarse estimation as a measure of the estimated occlusion probability, and selecting, by the electronic device, a pre-defined number of neural networks by applying the determined correction factor for processing the at least one occluded region and the generated initial coarse estimation to generate final estimation of the landmark point.
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公开(公告)号：US20230052330A1
公开(公告)日：2023-02-16
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: G06T3/40
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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Patent Agency Ranking
公开(公告)号：US20220036508A1
公开(公告)日：2022-02-03
申请号：US17500672
申请日：2021-10-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Youngo PARK , Heechul YANG , Chaeeun LEE
Abstract: An artificial intelligence (AI) decoding apparatus includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions to obtain image data generated through first encoding on a first image; obtain a second image corresponding to the first image by performing first decoding on the image data; perform pre-processing of changing a resolution of the second image, according to a pre-determined output resolution; and obtain a fourth image having the pre-determined output resolution by applying AI up-scaling based on an up-scaling deep neural network (DNN) to a third image obtained as a result of the pre-processing.
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公开(公告)号：US20210398326A1
公开(公告)日：2021-12-23
申请号：US17333845
申请日：2021-05-28
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：US20240004757A1
公开(公告)日：2024-01-04
申请号：US18295457
申请日：2023-04-04
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ho-Young LEE , Sung-Joon KIM , IIho KIM , Kyungjin PARK , Changho YUN , Jinhun JEONG , Insu CHOI , Kyung-Hee HAN , Yukyoung KIM , Jinwoo KIM , Chaeeun LEE , Yunmi HWANG
CPC classification number: G06F11/1068 , G06F11/076 , G06F11/0793
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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7.发明公开公开(公告)号：US20230386193A1
公开(公告)日：2023-11-30
申请号：US18224756
申请日：2023-07-21
Applicant: Samsung Electronics CO., LTD.
Inventor： Chaeeun LEE , Pilkyu Park , Jaehwan Kim , Heechul Yang , Jongseok Lee , Youngo Park , Kwangpyo Chol
IPC: G06V10/82 , H04N23/60 , H04N23/667 , G06T5/00
CPC classification number: G06V10/82 , H04N23/64 , H04N23/667 , G06T5/002
Abstract: A method of processing an image by using a neural network model includes obtaining an image captured via an image sensor, identifying a shooting context of the image, selecting a neural network model included in at least one of an image reconstruction module or an image correction module according to the shooting context, and processing the image by using the selected neural network model.
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公开(公告)号：US20210377554A1
公开(公告)日：2021-12-02
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: H04N19/44 , H04N19/124 , H04N19/85 , G06N3/04
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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