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公开(公告)号：US20230091104A1
公开(公告)日：2023-03-23
申请号：US17991293
申请日：2022-11-21
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hyunsoo CHOI , Inhak NA , Jaewook SHIN , Myungjin EOM , Aeran LIM , Junho RIM
Abstract: An electronic device recognizing an object is provided. The electronic device includes a plurality of computing units, a memory, and a processor configured to control at least one of the plurality of computing units such that object information about objects obtained by recognizing the objects existing in a space by using a first recognition model, divide the space into a plurality of subset spaces, based on the object information, determine at least one recognition model, based on characteristic information of each of the subset spaces, assign the determined recognition model to one computing unit, based on characteristic information of each of a plurality of computing units and characteristic information of the determined recognition model, and control the plurality of computing units to perform object recognition by using the determined recognition model and the one computing unit in each of the subset spaces.
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公开(公告)号：US20220030260A1
公开(公告)日：2022-01-27
申请号：US17498859
申请日：2021-10-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Pilkyu PARK , Youngo PARK , Jongseok LEE , Yumi SOHN , Myungjin EOM
IPC: H04N19/30 , H04N19/42 , H04N19/172 , H04N19/146 , H04N19/70
Abstract: Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.
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公开(公告)号：US20210232863A1
公开(公告)日：2021-07-29
申请号：US17156086
申请日：2021-01-22
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Chanwon SEO , Youngeun LEE , Eunseo KIM , Myungjin EOM
IPC: G06K9/62 , G06F3/0484 , G06K9/00 , G06T5/00 , G06N3/08
Abstract: An electronic device and a controlling method thereof are provided. An electronic device includes a memory configured to store at least one instruction and a processor configured to execute the at least one instruction and operate as instructed by the at least one instruction. The processor is configured to: obtain a first image; based on receiving a first user command to correct the first image, obtain a second image by correcting the first image; based on the first image and the second image, train a neural network model; and based on receiving a second user command to correct a third image, obtain a fourth image by correcting the third image using the trained neural network model.
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公开(公告)号：US20210295468A1
公开(公告)日：2021-09-23
申请号：US17331162
申请日：2021-05-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Youngo PARK , Kwangpyo CHOI , Yumi SOHN , Sungchan KIM , Myungjin EOM
Abstract: Provided is a decoding apparatus including: a communication interface configured to receive Al encoding data generated as a result of artificial intelligence (Al) down-scaling and first encoding of an original image; a processor configured to divide the Al encoding data into image data and Al data; and an input/output (I/O) device, wherein the processor is further configured to: obtain a second image by performing first decoding on a first image obtained by performing Al down-scaling on the original image, based on the image data; and control the I/O device to transmit the second image and the Al data to an external apparatus. In some embodiments, the external apparatus performs an Al upscaling of the second image using the Al data, and displays the resulting third image.
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公开(公告)号：US20210056665A1
公开(公告)日：2021-02-25
申请号：US17080501
申请日：2020-10-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Youngo PARK , Yumi SOHN , Myungjin EOM , Kwangpyo CHOI
Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.
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Patent Agency Ranking
公开(公告)号：US20200126187A1
公开(公告)日：2020-04-23
申请号：US16659061
申请日：2019-10-21
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Youngo PARK , Yumi SOHN , Myungjin EOM , Kwangpyo CHOI
Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.
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公开(公告)号：US20210044813A1
公开(公告)日：2021-02-11
申请号：US17080827
申请日：2020-10-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Pilkyu PARK , Youngo PARK , Jongseok LEE , Yumi SOHN , Myungjin EOM
IPC: H04N19/30 , H04N19/172 , H04N19/70 , H04N19/42 , H04N19/146
Abstract: Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.
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公开(公告)号：US20200260093A1
公开(公告)日：2020-08-13
申请号：US16860563
申请日：2020-04-28
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Pilkyu PARK , Youngo PARK , Jongseok LEE , Yumi SOHN , Myungjin EOM
IPC: H04N19/30 , H04N19/146 , H04N19/70 , H04N19/42 , H04N19/172
Abstract: Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.
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公开(公告)号：US20200219233A1
公开(公告)日：2020-07-09
申请号：US16824486
申请日：2020-03-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Youngo PARK , Yumi SOHN , Myungjin EOM , Kwangpyo CHOI
Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.
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公开(公告)号：US20250037466A1
公开(公告)日：2025-01-30
申请号：US18913369
申请日：2024-10-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Hyunsoo CHOI , Sungjin KIM , Inhak NA , Myungjin EOM
IPC: G06V20/50 , G06F18/20 , G06F18/2431 , G06V10/70 , G06V10/764 , G06V10/94 , G06V20/64
Abstract: A method of performing object recognition is performed by an electronic device and includes obtaining a spatial map of a space, using a first recognition model, recognizing one or more objects in the space, to obtain first object information of the objects, and dividing the space into a plurality of subset spaces, based on the obtained spatial map and the obtained first object information. The method further includes determining at least one second recognition model to be allocated to each of the plurality of subset spaces into which the space is divided, based on characteristic information of each of the plurality of subset spaces, and using the determined at least one second recognition model allocated to each of the plurality of subset spaces, performing object recognition on each of the plurality of subset spaces, to obtain second object information.
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