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公开(公告)号：US20210279842A1
公开(公告)日：2021-09-09
申请号：US17328689
申请日：2021-05-24
Applicant: Snap Inc.
Inventor： Shah Tanmay Anilkumar , Samuel Edward Hare , Guohui Wang
Abstract: Systems and methods are provided for initiating transfer of image data corresponding to at least one predetermined level of an image pyramid comprising higher resolution to a graphic processing unit (GPU) of the computing device, calculating, by the central processing unit (CPU) of the computing device, optical flow of at least one predetermined coarse level of the image pyramid, transferring, by the CPU of the computing device, the calculated optical flow of the at least one predetermined coarse level of the image pyramid to the GPU, calculating, by the GPU of the computing device, the optical flow of the at least one predetermined level of the image pyramid comprising higher resolution, and outputting, by the GPU of the computing device, the optical flow of the image data.
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公开(公告)号：US20190325561A1
公开(公告)日：2019-10-24
申请号：US16392138
申请日：2019-04-23
Applicant: Snap Inc.
Inventor： Shah Tanmay Anilkumar , Samuel Edward Hare , Guohui Wang
Abstract: Systems and methods are provided for initiating transfer of image data corresponding to at least one predetermined level of an image pyramid comprising higher resolution to a graphic processing unit (GPU) of the computing device, calculating, by the central processing unit (CPU) of the computing device, optical flow of at least one predetermined coarse level of the image pyramid, transferring, by the CPU of the computing device, the calculated optical flow of the at least one predetermined coarse level of the image pyramid to the GPU, calculating, by the GPU of the computing device, the optical flow of the at least one predetermined level of the image pyramid comprising higher resolution, and outputting, by the GPU of the computing device, the optical flow of the image data.
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公开(公告)号：US11989938B2
公开(公告)日：2024-05-21
申请号：US18312479
申请日：2023-05-04
Applicant: Snap Inc.
Inventor： Samuel Edward Hare , Fedir Poliakov , Guohui Wang , Xuehan Xiong , Jianchao Yang , Linjie Yang , Shah Tanmay Anilkumar
CPC classification number: G06V20/40 , G06T1/20 , G06T7/248 , G06V20/46 , G06T2200/28 , G06T2207/10016 , G06T2207/20081
Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
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公开(公告)号：US11676381B2
公开(公告)日：2023-06-13
申请号：US17248393
申请日：2021-01-22
Applicant: Snap Inc.
Inventor： Samuel Edward Hare , Fedir Poliakov , Guohui Wang , Xuehan Xiong , Jianchao Yang , Linjie Yang , Shah Tanmay Anilkumar
CPC classification number: G06V20/40 , G06T1/20 , G06T7/248 , G06V20/46 , G06T2200/28 , G06T2207/10016 , G06T2207/20081
Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
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公开(公告)号：US11783448B2
公开(公告)日：2023-10-10
申请号：US17328689
申请日：2021-05-24
Applicant: Snap Inc.
Inventor： Shah Tanmay Anilkumar , Samuel Edward Hare , Guohui Wang
CPC classification number: G06T3/4076 , G06T5/50 , G06T7/11 , G06T7/174 , G06T2207/10016 , G06T2207/20016 , G06T2207/20224
Abstract: Systems and methods are provided for initiating transfer of image data corresponding to at least one predetermined level of an image pyramid comprising higher resolution to a graphic processing unit (GPU) of the computing device, calculating, by the central processing unit (CPU) of the computing device, optical flow of at least one predetermined coarse level of the image pyramid, transferring, by the CPU of the computing device, the calculated optical flow of the at least one predetermined coarse level of the image pyramid to the GPU, calculating, by the GPU of the computing device, the optical flow of the at least one predetermined level of the image pyramid comprising higher resolution, and outputting, by the GPU of the computing device, the optical flow of the image data.
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Patent Agency Ranking
公开(公告)号：US20200050866A1
公开(公告)日：2020-02-13
申请号：US16654898
申请日：2019-10-16
Applicant: Snap Inc.
Inventor： Samuel Edward Hare , Fedir Poliakov , Guohui Wang , Xuehan Xiong , Jianchao Yang , Linjie Yang , Shah Tanmay Anilkumar
Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
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公开(公告)号：US20190087660A1
公开(公告)日：2019-03-21
申请号：US15706096
申请日：2017-09-15
Applicant: Snap Inc.
Inventor： Samuel Edward Hare , Fedir Poliakov , Guohui Wang , Xuehan Xiong , Jianchao Yang , Linjie Yang , Shah Tanmay Anilkumar
Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
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公开(公告)号：US20230274543A1
公开(公告)日：2023-08-31
申请号：US18312479
申请日：2023-05-04
Applicant: Snap Inc.
Inventor： Samuel Edward Hare , Fedir Poliakov , Guohui Wang , Xuehan Xiong , Jianchao Yang , Linjie Yang , Shah Tanmay Anilkumar
CPC classification number: G06V20/40 , G06T7/248 , G06V20/46 , G06T1/20 , G06T2207/20081 , G06T2200/28 , G06T2207/10016
Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
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公开(公告)号：US10929673B2
公开(公告)日：2021-02-23
申请号：US16654898
申请日：2019-10-16
Applicant: Snap Inc.
Inventor： Samuel Edward Hare , Fedir Poliakov , Guohui Wang , Xuehan Xiong , Jianchao Yang , Linjie Yang , Shah Tanmay Anilkumar
Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
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公开(公告)号：US10474900B2
公开(公告)日：2019-11-12
申请号：US15706096
申请日：2017-09-15
Applicant: Snap Inc.
Inventor： Samuel Edward Hare , Fedir Poliakov , Guohui Wang , Xuehan Xiong , Jianchao Yang , Linjie Yang , Shah Tanmay Anilkumar
Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.
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