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公开(公告)号:US10672180B2
公开(公告)日:2020-06-02
申请号:US15584274
申请日:2017-05-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jae-yun Jeong , Do-wan Kim , Yong-gyoo Kim , Gun-hee Lee , Jae-kyeong Lee , Jin-bong Lee , Dai-woong Choi , Hyun-soo Choi
IPC: G06T15/20 , G06F3/01 , H04N13/178 , H04N13/275 , H04N13/207 , H04N13/279 , G06T15/10 , G06T3/00 , G06T15/50 , G06T15/40 , G06T19/00
Abstract: A method of processing an image by a device obtaining one or more images including captured images of objects in a target space, generating metadata including information about mapping between the one or more images and a three-dimensional (3D) mesh model used to generate a virtual reality (VR) image of the target space, and transmitting the one or more images and the metadata to a terminal.
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公开(公告)号:US11216694B2
公开(公告)日:2022-01-04
申请号:US16633825
申请日:2018-07-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyun-joo Jung , Gun-hee Lee , In-kwon Choi , Sung-jin Kim , Hyun-soo Choi
Abstract: The present disclosure relates to an artificial intelligence (AI) system for simulating functions of a human brain such as cognition and decision-making by using machine learning algorithms such as deep learning, and applications thereof. In particular, the present disclosure provides a method of recognizing an object by using an AI system and its application, including: extracting pieces of first feature information respectively regarding a plurality of images, each image including an object; generating at least one piece of second feature information representing a correlation between the plurality of images by combining together the extracted pieces of first feature information respectively regarding the plurality of images; and recognizing, based on the at least one piece of second feature information, the object included in each of the plurality of images by using a pre-generated learning network model.
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公开(公告)号:US11348306B2
公开(公告)日:2022-05-31
申请号:US16888036
申请日:2020-05-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jae-yun Jeong , Do-wan Kim , Yong-gyoo Kim , Gun-hee Lee , Jae-kyeong Lee , Jin-bong Lee , Dai-woong Choi , Hyun-soo Choi
IPC: G06T15/50 , G06T19/00 , G06T15/20 , H04N13/279 , G06T15/10 , G06T3/00 , G06F3/01 , G06T15/40 , H04N13/178 , H04N13/275 , H04N13/207
Abstract: A method of processing an image by a device obtaining one or more images including captured images of objects in a target space, generating metadata including information about mapping between the one or more images and a three-dimensional (3D) mesh model used to generate a virtual reality (VR) image of the target space, and transmitting the one or more images and the metadata to a terminal.
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公开(公告)号:US11210525B2
公开(公告)日:2021-12-28
申请号:US16643778
申请日:2018-09-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Gun-hee Lee , Kyung-su Kim , Hyun-soo Choi , Sung-jin Kim , Ju-hee Kim
Abstract: According to the present disclosure, an artificial intelligence (AI) system and a method of providing content according to an application of the AI system are provided. The method includes: obtaining one or more images included in the content; generating additional content for guiding user information, the additional content corresponding to the one or more images, based on feature information extracted from the one or more images; when receiving a request for reproducing the content, synchronizing the generated additional content with the one or more images; and reproducing the content and the additional content, according to a result of the synchronizing.
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公开(公告)号:US11170201B2
公开(公告)日:2021-11-09
申请号:US16635024
申请日:2018-07-11
Applicant: Samsung Electronics Co., Ltd.
Inventor: In-kwon Choi , Gun-hee Lee , Hyun-joo Jung , Sung-jin Kim , Hyun-soo Choi
Abstract: Provided are an artificial intelligence (AI) system that simulates functions of a human brain such as recognition and judgment by utilizing a machine learning algorithm such as deep learning, etc., and an application of the AI system. Provided are an AI system and a method of recognizing an object according to the application of the AI system, the method including: obtaining a plurality of pieces of sensor data about the object from a plurality of different types of sensors; converting at least some of the plurality of pieces of sensor data into two-dimensional (2D) sensor data; and recognizing the object by using a previously generated learning network model based on 2D image data obtained from an image sensor, which is one of the plurality of sensors, and the 2D sensor data.
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