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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
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
CPC分类号： G06T3/4046 , G06N3/084 , G06N20/10 , G06T9/002 , H04N19/85 , G06T2207/20081 , G06T2207/20084
摘要： 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：US11288770B2
公开(公告)日：2022-03-29
申请号：US17079773
申请日：2020-10-26
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： 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：US11170534B2
公开(公告)日：2021-11-09
申请号：US17082848
申请日：2020-10-28
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： 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：US12045954B2
公开(公告)日：2024-07-23
申请号：US17893248
申请日：2022-08-23
发明人： Jaehwan Kim , Youngo Park , Kwangpyo Choi
IPC分类号： G06T3/4092 , G06T3/10 , G06T3/4046 , G06T3/4053 , H04N7/01 , H04N7/14
CPC分类号： G06T3/4092 , G06T3/10 , G06T3/4046 , G06T3/4053 , H04N7/0102 , H04N7/141
摘要： Provided is a method of adaptively performing artificial intelligence (AI) downscaling on an image during a video telephone call of a user terminal. The method includes obtaining, from an opposite user terminal, AI upscaling support information of the opposite user terminal that is a target of a video telephone call, determining whether the user terminal is to perform AI downscaling on an original image, based on the AI upscaling support information, based on determining that the user terminal is to perform AI downscaling on the original image, obtaining a first image by AI downscaling the original image using a downscaling deep neural network (DNN), generating image data by performing first encoding on the first image, and transmitting AI data including information related to the AI downscaling and the image data.
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公开(公告)号：US11436703B2
公开(公告)日：2022-09-06
申请号：US17330809
申请日：2021-05-26
发明人： Jaehwan Kim , Youngo Park , Kwangpyo Choi
摘要： Provided is a method of adaptively performing artificial intelligence (AI) downscaling on an image during a video telephone call of a user terminal. The method includes obtaining, from an opposite user terminal, AI upscaling support information of the opposite user terminal that is a target of a video telephone call, determining whether the user terminal is to perform AI downscaling on an original image, based on the AI upscaling support information, based on determining that the user terminal is to perform AI downscaling on the original image, obtaining a first image by AI downscaling the original image using a downscaling deep neural network (DNN), generating image data by performing first encoding on the first image, and transmitting AI data including information related to the AI downscaling and the image data.
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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
发明人： Jaehwan Kim , Youngo Park , Chaeeun Lee , Kwangpyo Choi
IPC分类号： H04N19/00 , H04N19/44 , G06N3/04 , H04N19/85 , H04N19/124
摘要： 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：US11138763B2
公开(公告)日：2021-10-05
申请号：US17082848
申请日：2020-10-28
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： 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：US20210081104A1
公开(公告)日：2021-03-18
申请号：US16925489
申请日：2020-07-10
发明人： Wonsuk CHUNG , Sunghyun PARK , Soonyong CHO , Jaehwan Kim , Jisup Lee
IPC分类号： G06F3/0488
摘要： Disclosed are an electronic apparatus and a method of controlling the same. The electronic apparatus includes a camera, a display, a memory, and a processor configured to execute at least one instruction to: detect a plurality of fingers in a plurality of first image frames obtained through the camera and, in response to an identification that a pose of the plurality of detected fingers corresponds to a trigger pose, enter a character input mode, detect a first motion of a finger among the plurality of fingers in a plurality of second image frames obtained through in the character input mode, identify a key corresponding to the first motion, from among a plurality of keys mapped to the finger, based on a position of the finger by the first motion and a reference point set to the finger, and control the display to display information corresponding to the identified key.
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公开(公告)号：US10937197B2
公开(公告)日：2021-03-02
申请号：US16821686
申请日：2020-03-17
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： 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：US10825206B2
公开(公告)日：2020-11-03
申请号：US16821609
申请日：2020-03-17
发明人： Jaehwan Kim , Jongseok Lee , Sunyoung Jeon , Kwangpyo Choi , Minseok Choi , Quockhanh Dinh , Youngo Park
摘要： 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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