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公开(公告)号:US20240187573A1
公开(公告)日:2024-06-06
申请号:US18351009
申请日:2023-07-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: Paul OH , Suji KIM , Dongwon JANG , Seunghoon JEE
IPC: H04N19/109 , H04N19/176 , H04N19/57
CPC classification number: H04N19/109 , H04N19/176 , H04N19/57
Abstract: A neural codec includes a first simulated predictor for predicting a first block corresponding to a target block within a current frame, wherein the first block is predicted in accordance with the target block of the to-be-predicted current frame and pixels of neighbor blocks adjacent to the target block being input to the first simulated predictor, a second simulated predictor for predicting a second block corresponding to a target block using a reference block of a frame determined based on a prediction mode, wherein the second block is predicted in accordance with the reference block of a reference frame adjacent to the current frame and the target block being input to the second simulated predictor, and a selection network configured to select, based on the prediction mode, one of the first block and the second block as a predicted block.
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公开(公告)号:US20230154134A1
公开(公告)日:2023-05-18
申请号:US17735630
申请日:2022-05-03
Applicant: Samsung Electronics Co., Ltd.
Inventor: Paul OH
IPC: G06V10/25 , G06V40/20 , G06F3/01 , H04N13/106 , H04N13/344
CPC classification number: G06V10/25 , G06V40/28 , G06F3/017 , H04N13/106 , H04N13/344
Abstract: A method of operating a wearable electronic device includes: recognizing a first gesture of a hand of a user for setting a region of interest (ROI) corresponding to a view of the user in an image frame corresponding to a view of a camera; generating a virtual display for projecting the ROI based on whether the first gesture is recognized; extracting the ROI from the image frame; recognizing a second gesture of the hand for adjusting a size of the ROI; and adjusting the size of the ROI and projecting the ROI of the adjusted size onto the virtual display, based on whether the second gesture is recognized.
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公开(公告)号:US20230154033A1
公开(公告)日:2023-05-18
申请号:US17944326
申请日:2022-09-14
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Paul OH , Yamin MAO , Hongseok LEE , Qiang WANG , Yuntae KIM , Zhihua LIU
CPC classification number: G06T7/70 , G06V40/11 , G06V10/42 , G06V10/44 , G06V10/467 , G06V2201/07
Abstract: An object pose and model estimation method includes acquiring a global feature of an input image, and a location code of an object including location information for a joint point of the object and location information for a model vertex in a template model; determining a local area feature of the object based on the global feature of the input image and based on the location code of the object in the template model; and acquiring location information for the joint point of the object in the input image and location information for the model vertex in the input image based on the local area feature of the object.
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公开(公告)号:US20220198682A1
公开(公告)日:2022-06-23
申请号:US17314082
申请日:2021-05-07
Applicant: Samsung Electronics Co., Ltd.
Inventor: Paul OH
Abstract: A method and apparatus for tracking hand joints are disclosed, where the method of tracking hand joints includes estimating angle information of finger joints based on initial positions of hand joints obtained from an image, generating a kinematic model of the hand joints based on the initial positions of the hand joints and the angle information of the finger joints, and tracking the hand joints by updating at least one of positions or angles of the hand joints based on the initial positions of the hand joints and the kinematic model.
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公开(公告)号:US20250159232A1
公开(公告)日:2025-05-15
申请号:US18654604
申请日:2024-05-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Paul OH , Seung Hoon Jee , Young Hun Sung , Ung Yeop Yang , Do Kwan Oh , Jun Hee Lee , Dong Won Jang , Jong Seong Choi , Chan Sol Hwang
IPC: H04N19/513 , G06V10/82 , H04N19/117 , H04N19/124 , H04N19/176 , H04N19/18 , H04N19/91
Abstract: An image encoding apparatus may include a memory storing one or more instructions; and a processor configured to execute the one or more instructions to: obtain an initial search position from a student neural network that has been trained through a knowledge distillation from a teacher neural network by inputting a current frame and a reference frame to the student neural network; and perform motion estimation based on the initial search position.
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公开(公告)号:US20250159231A1
公开(公告)日:2025-05-15
申请号:US18647601
申请日:2024-04-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seung Hoon JEE , Paul OH , Young Hun SUNG , Jung Yeop YANG , Do Kwan OH , Jun Hee LEE , Dong Won JANG , Jong Seong CHOI , Chan Sol HWANG
IPC: H04N19/513 , G06T3/02 , G06V10/82 , H04N19/119 , H04N19/59
Abstract: A video encoder is provided. The video encoder according to an example embodiment includes: a differentiable prediction (DP) module configured to output an optimal initial search position by performing full search in a predetermined area by using a pair of frames of a video as input; and a motion estimation (ME) module configured to perform motion estimation by moving a search position toward the optimal initial search position output by the DP module.
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公开(公告)号:US20240046505A1
公开(公告)日:2024-02-08
申请号:US18363798
申请日:2023-08-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Zhihua LIU , Paul OH , Qiang WANG , Yamin MAO
CPC classification number: G06T7/70 , G06V10/7715 , G06V10/82
Abstract: An electronic device for predicting a pose and a method of operating the electronic device are provided. The method includes extracting a feature map from an input image, predicting coordinates of a joint point from the feature map using an ordinal regression model, and predicting a pose of an object using the predicted coordinates of the joint point.
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公开(公告)号:US20220076448A1
公开(公告)日:2022-03-10
申请号:US17468984
申请日:2021-09-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Zhihua LIU , Yamin MAO , Hongseok LEE , Paul OH , Qiang WANG , Yuntae KIM , Weiheng LIU
Abstract: Disclosed is a pose identification method including obtaining a depth image of a target, obtaining feature information of the depth image and position information corresponding to the feature information, and obtaining a pose identification result of the target based on the feature information and the position information.
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