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公开(公告)号：US11743574B2
公开(公告)日：2023-08-29
申请号：US17484822
申请日：2021-09-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： David Liu , Youngjun Yoo
IPC: H04N23/63 , H04N23/611 , H04N23/617 , H04N23/661
CPC classification number: H04N23/631 , H04N23/611
Abstract: An electronic device includes a display, a camera, and a processing device. The processing device is configured to determine whether (i) a user's face or eyes are within the camera's field of view or (ii) a gaze of the user is directed towards the display. The processing device is also configured, in response to determining that (i) the user's face or eyes are not within the camera's field of view or (ii) the gaze of the user is not directed towards the display, to modify a user interface button presented on the display. The user interface button may represent a shutter button configured to cause the camera or another camera of the electronic device to capture one or more images.
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公开(公告)号：US20200349439A1
公开(公告)日：2020-11-05
申请号：US16400007
申请日：2019-04-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chenchi Luo , Manish Goel , David Liu
Abstract: An electronic device, method, and computer readable medium for 3D association of detected objects are provided. The electronic device includes a memory and at least one processor coupled to the memory. The at least one processor configured to convolve an input to a neural network with a basis kernel to generate a convolution result, scale the convolution result by a scalar to create a scaled convolution result, and combine the scaled convolution result with one or more of a plurality of scaled convolution results to generate an output feature map.
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公开(公告)号：US20200349411A1
公开(公告)日：2020-11-05
申请号：US16399998
申请日：2019-04-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chenchi Luo , David Liu , Youngjun Yoo
Abstract: An electronic device, method, and computer readable medium for an invertible wavelet layer for neural networks are provided. The electronic device includes a memory and at least one processor coupled to the memory. The at least one processor is configured to receive an input to a neural network, apply a wavelet transform to the input at a wavelet layer of the neural network, and generate a plurality of subbands of the input as a result of the wavelet transform.
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公开(公告)号：US20190246130A1
公开(公告)日：2019-08-08
申请号：US15892141
申请日：2018-02-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hamid R. Sheikh , Youngjun Yoo , Michael Polley , Chenchi Luo , David Liu
IPC: H04N19/48 , H04N19/44 , H04N19/11 , H04N19/167
CPC classification number: H04N19/48 , H04N19/11 , H04N19/167 , H04N19/44
Abstract: Methods and systems for compressed domain progressive application of computer vision techniques. A method for decoding video data includes receiving a video stream that is encoded for multi-stage decoding. The method includes partially decoding the video stream by performing one or more stages of the multi-stage decoding. The method includes determining whether a decision for a computer vision system can be identified based on the partially decoded video stream. Additionally, the method includes generating the decision for the computer vision system based on decoding of the video stream. A system for encoding video data includes a processor configured to receive the video data from a camera, encode the video data received from the camera into a video stream for consumption by a computer vision system, and include metadata with the encoded video stream to indicate whether a decision for the computer vision system can be identified from the metadata.
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公开(公告)号：US11989637B2
公开(公告)日：2024-05-21
申请号：US16399998
申请日：2019-04-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chenchi Luo , David Liu , Youngjun Yoo
CPC classification number: G06N3/04 , G06N3/0409 , G06N3/08
Abstract: An electronic device, method, and computer readable medium for an invertible wavelet layer for neural networks are provided. The electronic device includes a memory and at least one processor coupled to the memory. The at least one processor is configured to receive an input to a neural network, apply a wavelet transform to the input at a wavelet layer of the neural network, and generate a plurality of subbands of the input as a result of the wavelet transform.
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Patent Agency Ranking
公开(公告)号：US11025942B2
公开(公告)日：2021-06-01
申请号：US15892141
申请日：2018-02-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hamid R. Sheikh , Youngjun Yoo , Michael Polley , Chenchi Luo , David Liu
IPC: H04N19/48 , H04N19/167 , H04N19/11 , H04N19/44
Abstract: Methods and systems for compressed domain progressive application of computer vision techniques. A method for decoding video data includes receiving a video stream that is encoded for multi-stage decoding. The method includes partially decoding the video stream by performing one or more stages of the multi-stage decoding. The method includes determining whether a decision for a computer vision system can be identified based on the partially decoded video stream. Additionally, the method includes generating the decision for the computer vision system based on decoding of the video stream. A system for encoding video data includes a processor configured to receive the video data from a camera, encode the video data received from the camera into a video stream for consumption by a computer vision system, and include metadata with the encoded video stream to indicate whether a decision for the computer vision system can be identified from the metadata.
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公开(公告)号：US10986287B2
公开(公告)日：2021-04-20
申请号：US16369071
申请日：2019-03-29
Applicant: Samsung Electronics, Co. Ltd.
Inventor： David Liu , Michael Polley , Youngjun F. Yoo , Hamid Rahim Sheikh , Kaimo Lin , George Chen , Chenchi Luo
Abstract: A method of capturing a photo using a mobile device is described. The method comprises detecting a signature motion of the mobile device; capturing video using a camera of the mobile device upon detecting the signature motion; and automatically identifying a start frame and an end frame of the captured images using neural networks. A mobile device for capturing a photo is also described.
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公开(公告)号：US20220014683A1
公开(公告)日：2022-01-13
申请号：US17484822
申请日：2021-09-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： David Liu , Youngjun Yoo
IPC: H04N5/232
Abstract: An electronic device includes a display, a camera, and a processing device. The processing device is configured to determine whether (i) a user's face or eyes are within the camera's field of view or (ii) a gaze of the user is directed towards the display. The processing device is also configured, in response to determining that (i) the user's face or eyes are not within the camera's field of view or (ii) the gaze of the user is not directed towards the display, to modify a user interface button presented on the display. The user interface button may represent a shutter button configured to cause the camera or another camera of the electronic device to capture one or more images.
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公开(公告)号：US20200267331A1
公开(公告)日：2020-08-20
申请号：US16369071
申请日：2019-03-29
Applicant: Samsung Electronics, Co. Ltd.
Inventor： David Liu , Michael Polley , Youngjun F. Yoo , Hamid Rahim Sheikh , Kaimo Lin , George Chen , Chenchi Luo
Abstract: A method of capturing a photo using a mobile device is described. The method comprises detecting a signature motion of the mobile device; capturing video using a camera of the mobile device upon detecting the signature motion; and automatically identifying a start frame and an end frame of the captured images using neural networks. A mobile device for capturing a photo is also described.
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公开(公告)号：US11580399B2
公开(公告)日：2023-02-14
申请号：US16400007
申请日：2019-04-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chenchi Luo , Manish Goel , David Liu
Abstract: An electronic device, method, and computer readable medium for 3D association of detected objects are provided. The electronic device includes a memory and at least one processor coupled to the memory. The at least one processor configured to convolve an input to a neural network with a basis kernel to generate a convolution result, scale the convolution result by a scalar to create a scaled convolution result, and combine the scaled convolution result with one or more of a plurality of scaled convolution results to generate an output feature map.
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