公开(公告)号：US20160080938A1

公开(公告)日：2016-03-17

申请号：US14853323

申请日：2015-09-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Junghun KIM ,  Jaehwan Kim ,  Sangmi Park ,  Yongseok Park ,  Jisup Lee

IPC: H04W12/06 ,  H04W12/08

CPC classification number: H04W12/06 ,  H04W12/08

Abstract: Disclosed is an electronic device including a processor that receives an input signal for requesting an authentication, determines whether a mobile oriented (MO) server is available based on at least one of an international mobile subscriber identity (IMSI) or network Internet Protocol (IP) information of the electronic device, and if it is determined that the MO server is available, creates an authentication code, and a communication module that transmits the created authentication code to the MO server.

Abstract translation: 公开了一种电子设备，包括接收用于请求认证的输入信号的处理器，基于国际移动用户标识（IMSI）或网络因特网协议（IP）中的至少一个来确定面向移动的（MO）服务器是否可用， 电子设备的信息，并且如果确定MO服务器可用，则创建认证码，以及将所创建的认证码发送到MO服务器的通信模块。

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.

公开(公告)号：US11816872B2

公开(公告)日：2023-11-14

申请号：US17503420

申请日：2021-10-18

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chaeeun Lee ,  Jaehwan Kim ,  Youngo Park

IPC: G06T9/00 ,  G06N3/08 ,  G06T3/40 ,  G06V10/44 ,  G06V10/82

CPC classification number: G06T9/002 ,  G06N3/08 ,  G06T3/4046 ,  G06V10/454 ,  G06V10/82

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.

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

IPC: G06T3/40 ,  H04N19/42 ,  H04N19/33 ,  G06N3/02 ,  H04N19/85

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.

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

IPC: G06T9/00 ,  G06T3/40 ,  H04N19/85 ,  G06V10/82

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.

公开(公告)号：US20230085530A1

公开(公告)日：2023-03-16

申请号：US17895561

申请日：2022-08-25

Applicant: Samsung Electronics Co., Ltd.

Inventor： Chaeeun Lee ,  Jaehwan Kim ,  Youngo Park ,  Jongseok Lee ,  Kwangpyo Choi

IPC: H04N19/30 ,  H04N19/436 ,  H04N19/136 ,  H04N19/164

Abstract: Provided is an electronic device configured to participate in video conference by using artificial intelligence (AI), the electronic device including a display and a processor configured to execute one or more instructions. The processor configured to obtain, from a server, image data generated by first encoding first image related to another electronic device participating in video conference, and AI data related to AI downscaling from original image to first image, obtain second image corresponding to first image by performing first decoding on image data, determine whether to perform AI upscaling on second image, based on importance of the other electronic device, based on determining to perform AI upscaling, obtain third image by performing AI upscaling on second image through an upscaling deep neural network and provide third image to display, and based on determining not to perform AI upscaling, provide second image to display.

公开(公告)号：US11508166B2

公开(公告)日：2022-11-22

申请号：US16664152

申请日：2019-10-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaehwan Kim ,  Taehoon Kim

IPC: G06V20/64 ,  G06F16/538 ,  F25D11/00 ,  G06F3/04845 ,  G06V10/22

Abstract: A method of providing information about an object in a refrigerator is provided. The method includes: obtaining, using a camera, an image of a plurality of objects stored in the refrigerator; displaying the image on a display of the refrigerator; receiving a first user input indicating a first object from among the plurality of objects included in the image; and displaying a substitute image of the first object on the display based on the first user input.

公开(公告)号：US11263498B2

公开(公告)日：2022-03-01

申请号：US16572075

申请日：2019-09-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaehwan Kim ,  Oleksandr Baiev

IPC: G06T7/10 ,  G06K9/62 ,  G06T7/00 ,  G06T7/70 ,  G01N33/02 ,  H04N5/232 ,  H04L67/12

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.

公开(公告)号：US20220036596A1

公开(公告)日：2022-02-03

申请号：US17503420

申请日：2021-10-18

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chaeeun Lee ,  Jaehwan Kim ,  Youngo Park

IPC: G06T9/00 ,  G06N3/08 ,  G06T3/40

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.

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

IPC: G06T9/00 ,  H04N19/86 ,  G06N3/04 ,  G06N3/08 ,  G06T3/40 ,  G06T5/00 ,  G06T5/20 ,  G06T5/50

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.