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公开(公告)号：US10825205B2
公开(公告)日：2020-11-03
申请号：US16793605
申请日：2020-02-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: Provided is 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 stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US10817989B2
公开(公告)日：2020-10-27
申请号：US16831521
申请日：2020-03-26
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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公开(公告)号：US10191728B2
公开(公告)日：2019-01-29
申请号：US14880640
申请日：2015-10-12
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sung Hwan Lee , Minseok Choi , Moonhyun Jung
Abstract: A mobile device based on an Android™ operating system configure to reduce the size of downloaded Android™ application packages. The mobile device comprises a storage device configured to store data, transceiver circuitry for downloading an Android™ application package, and a package manager. The package manager analyzes resources in the downloaded Android™ application package; identifies unnecessary resources that are not suitable for use by the mobile device; deletes the unnecessary resources; generates from the remaining resources an optimized Android™ application package having a smaller size than the downloaded Android™ application package; and stores the optimized Android™ application package in the storage device under the same name as the downloaded Android™ application package. The package manager also identifies an original security certificate in the downloaded Android™ application package; and generates from the optimized Android™ application package a new security certificate. The package manager uses the original security certificate and the new security certificate to download an updated version of the Android™ application package.
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公开(公告)号：US11676246B2
公开(公告)日：2023-06-13
申请号：US16599291
申请日：2019-10-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Minseok Choi , Kwangpyo Choi , Jaehwan Kim
CPC classification number: G06T3/4046 , G06N3/02 , H04N19/33 , H04N19/42 , H04N19/85
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 downscaled from an original image by using first parameters of a first filter kernel included in a first deep neural network (DNN), reconstruct a second image corresponding to the first image, based on the obtained image data, and obtain a third image that is upscaled from the reconstructed second image, by performing an operation between the reconstructed second image and second parameters of a second filter kernel included in a second DNN corresponding to the first DNN. Each of the second parameters is represented by a product of a scale factor and one among integer values, and each of the integer values is 0 or ±2n, where n is an integer.
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公开(公告)号：US11663747B2
公开(公告)日：2023-05-30
申请号：US17383533
申请日：2021-07-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
CPC classification number: G06T9/002 , G06T3/4046 , G06V10/82 , H04N19/85 , G06T2207/20081
Abstract: Provided is 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 stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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Patent Agency Ranking
16.发明授权公开(公告)号：US11231656B2
公开(公告)日：2022-01-25
申请号：US16835708
申请日：2020-03-31
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sunghyup Kim , Ho Yu , Jeonggil Kim , Minseok Choi
Abstract: A target debris collection device for extreme ultraviolet (EUV) light source apparatus, includes a baffle body extending within an EUV vessel between a collector and an outlet port of the EUV vessel to allow EUV light reflected from the collector to pass through an internal transmissive region thereof, a discharge plate provided in a first end portion of the baffle body adjacent to the collector to collect the target material debris on an inner surface of the baffle body, a guide structure to guide the target material debris collected in the discharge plate to a collection tank, and a first heating member provided in the guide structure to prevent the target material debris from being solidified.
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公开(公告)号：US11200702B2
公开(公告)日：2021-12-14
申请号：US17147954
申请日：2021-01-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Quockhanh Dinh , Minseok Choi , Kwangpyo Choi
Abstract: Provided is an artificial intelligence (AI) decoding apparatus including a memory storing one or more instructions; and a processor configured to execute the one or more instructions to, when an image is input to a second DNN including a plurality of layers, obtain first result values based on an operation between the image and a first filter kernel and obtain second result values based on an operation between the image and a second filter kernel, from a first layer including the first and second filter kernels from among the plurality of layers, perform normalization by transforming the first result values into first values by using a first scale factor, and, perform normalization by transforming the second result values into second values by using a second scale factor, transform the first values and the second values into integer values included in a preset range.
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公开(公告)号：US20210350586A1
公开(公告)日：2021-11-11
申请号：US17383533
申请日：2021-07-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
Abstract: Provided is 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 stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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公开(公告)号：US10832447B2
公开(公告)日：2020-11-10
申请号：US16844124
申请日：2020-04-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sunyoung Jeon , Jaehwan Kim , Youngo Park , Jongseok Lee , Minseok Choi , Kwangpyo Choi
Abstract: Provided is an artificial intelligence (AI) encoding apparatus including a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to obtain a first image by performing AI down-scaling on an original image through a deep neural network (DNN) for down-scaling, obtain artifact information indicating an artifact region in the first image, perform post-processing to change a pixel value of a pixel in the first image, based on the artifact information, and obtain image data corresponding to a result of encoding of the post-processed first image, and AI data including the artifact information.
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公开(公告)号：US10825204B2
公开(公告)日：2020-11-03
申请号：US16785092
申请日：2020-02-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Sunyoung Jeon , Jaehwan Kim , Youngo Park , Jongseok Lee , Minseok Choi , Kwangpyo Choi
Abstract: Provided is an artificial intelligence (AI) encoding apparatus including a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to obtain a first image by performing AI down-scaling on an original image through a deep neural network (DNN) for down-scaling, obtain artifact information indicating an artifact region in the first image, perform post-processing to change a pixel value of a pixel in the first image, based on the artifact information, and obtain image data corresponding to a result of encoding of the post-processed first image, and AI data including the artifact information.
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