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21.发明申请公开(公告)号：US20200219292A1
公开(公告)日：2020-07-09
申请号：US16821609
申请日：2020-03-17
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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22.发明申请公开(公告)号：US20200097776A1
公开(公告)日：2020-03-26
申请号：US16572075
申请日：2019-09-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Oleksandr Baiev
Abstract: A method of providing information related to a state of an object in a refrigerator includes obtaining a first camera image including at least one object kept in the refrigerator through a camera arranged in the refrigerator, obtaining environmental information in the refrigerator through an environmental sensor arranged in the refrigerator, predicting information related to a current state of the at least one object by applying the first camera image including the at least one object and the environmental information in the refrigerator to an artificial intelligence (AI) model; and providing the information related to the current state of the at least one object.
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23.发明申请公开(公告)号：US20220028121A1
公开(公告)日：2022-01-27
申请号：US17495050
申请日：2021-10-06
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：US20210390659A1
公开(公告)日：2021-12-16
申请号：US17237775
申请日：2021-04-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jaehwan KIM , Youngo Park , Kwangpyo CHOI
Abstract: An artificial intelligence (AI) encoding apparatus includes a processor configured to execute one or more instructions stored in the AI encoding apparatus to: input, to a downscale deep neural network (DNN), a first reduced image downscaled from an original image and a reduction feature map having a resolution lower than a resolution of the original image; obtain a first image AI-downscaled from the original image in the downscale DNN; generate image data by performing a first encoding process on the first image; and output the image data.
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25.发明申请公开(公告)号：US20210125380A1
公开(公告)日：2021-04-29
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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Patent Agency Ranking
公开(公告)号：US20210118189A1
公开(公告)日：2021-04-22
申请号：US17082848
申请日：2020-10-28
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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27.发明申请公开(公告)号：US20200175650A1
公开(公告)日：2020-06-04
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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28.发明申请公开(公告)号：US20200126262A1
公开(公告)日：2020-04-23
申请号：US16570057
申请日：2019-09-13
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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29.发明申请公开(公告)号：US20200126186A1
公开(公告)日：2020-04-23
申请号：US16656812
申请日：2019-10-18
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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30.发明申请METHOD AND APPARATUS FOR OPERATING FUNCTIONS OF PORTABLE TERMINAL HAVING BENDED DISPLAY 审中-公开用于操作具有弯曲显示器的便携式终端功能的方法和装置公开(公告)号：US20150242006A1
公开(公告)日：2015-08-27
申请号：US14709925
申请日：2015-05-12
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngri KIM , Ilhwan KIM , Dongwoo KIM , Jaehwan KIM , Jiyeon YOO , Juyoun LEE , Sangok CHA , Siejoon CHO
IPC: G06F3/041 , G06F3/0488 , G06F3/0485 , G06F1/16 , G06F3/0482
CPC classification number: G06F3/041 , G06F1/1626 , G06F1/1637 , G06F3/0482 , G06F3/0485 , G06F3/0488 , G06F2203/04102 , G06F2203/04803
Abstract: A portable terminal having a bended display divided into a main region of a front surface and a sub-region of a side of the portable terminal and operating functions of the portable terminal in connection with the main region and the sub-region, and a method of operating the same are provided. The method of operating functions of a portable terminal having a bended display, includes receiving an input of an event, determining a type of the input event, outputting event information, according to an internal event input based on the bended display, through at least one of a main region and a sub-region of the bended display when the input event is the internal event, and outputting event information, according to an external event input from an outside source, through the sub-region of the bended display when the input event is the external event.
Abstract translation: 一种便携式终端，其具有被分为便携式终端的正面和副区域的主区域和与主区域和子区域相关的便携式终端的操作功能的弯曲显示器，以及方法 提供了这些操作。 具有弯曲显示器的便携式终端的操作功能的方法包括：接收事件的输入，根据基于弯曲显示的内部事件输入，确定输入事件的类型，输出事件信息，通过至少一个 当所述输入事件是所述内部事件时，所述弯曲显示器的主区域和子区域是根据从外部源输入的外部事件通过所述弯曲显示器的子区域输出的事件信息 事件是外部事件。
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