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公开(公告)号：US20220345435A1
公开(公告)日：2022-10-27
申请号：US17713020
申请日：2022-04-04
Applicant: Snap Inc.
Inventor： Harsh Agrawal , Xuan Huang , Jung Hyun Kim , Yuncheng Li , Yiwei Ma , Tao Ning , Ye Tao
IPC: H04L51/52 , G06K9/62 , G06T7/00 , G06F3/0482 , H04L65/1069 , H04L51/222 , H04L67/01
Abstract: Systems, methods, devices, computer readable instruction media, and other embodiments are described for automated image processing and insight presentation. One embodiment involves receiving a plurality of ephemeral content messages from a plurality of client devices, and processing the messages to identify content associated with at least a first content type. A set of analysis data associated with the first content type is then generated from the messages, and portions of the messages associated with the first content type are processed to generate a first content collection. The first content collection and the set of analysis data are then communicated to a client device configured for a display interface comprising the first content collection and a representation of at least a portion of the set of analysis data.
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公开(公告)号：US20220172448A1
公开(公告)日：2022-06-02
申请号：US17651524
申请日：2022-02-17
Applicant: Snap Inc.
Inventor： Travis Chen , Samuel Edward Hare , Yuncheng Li , Tony Mathew , Jonathan Solichin , Jianchao Yang , Ning Zhang
Abstract: Systems, devices, media, and methods are presented for object detection and inserting graphical elements into an image stream in response to detecting the object. The systems and methods detect an object of interest in received frames of a video stream. The systems and methods identify a bounding box for the object of interest and estimate a three-dimensional position of the object of interest based on a scale of the object of interest. The systems and methods generate one or more graphical elements having a size based on the scale of the object of interest and a position based on the three-dimensional position estimated for the object of interest. The one or more graphical elements are generated within the video stream to form a modified video stream. The systems and methods cause presentation of the modified video stream including the object of interest and the one or more graphical elements.
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公开(公告)号：US11315219B2
公开(公告)日：2022-04-26
申请号：US16888171
申请日：2020-05-29
Applicant: Snap Inc.
Inventor： Guohui Wang , Sumant Milind Hanumante , Ning Xu , Yuncheng Li
Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
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公开(公告)号：US11297027B1
公开(公告)日：2022-04-05
申请号：US16778242
申请日：2020-01-31
Applicant: Snap Inc.
Inventor： Harsh Agrawal , Xuan Huang , Jung Hyun Kim , Yuncheng Li , Yiwei Ma , Tao Ning , Ye Tao
IPC: G06F3/0482 , H04L51/52 , G06K9/62 , G06T7/00 , H04L65/1069 , H04L51/222 , H04L67/01
Abstract: Systems, methods, devices, computer readable instruction media, and other embodiments are described for automated image processing and insight presentation. One embodiment involves receiving a plurality of ephemeral content messages from a plurality of client devices, and processing the messages to identify content associated with at least a first content type. A set of analysis data associated with the first content type is then generated from the messages, and portions of the messages associated with the first content type are processed to generate a first content collection. The first content collection and the set of analysis data are then communicated to a client device configured for a display interface comprising the first content collection and a representation of at least a portion of the set of analysis data.
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公开(公告)号：US20200258313A1
公开(公告)日：2020-08-13
申请号：US15929374
申请日：2020-04-29
Applicant: Snap Inc.
Inventor： Travis Chen , Samuel Edward Hare , Yuncheng Li , Tony Mathew , Jonathan Solichin , Jianchao Yang , Ning Zhang
Abstract: Systems, devices, media, and methods are presented for object detection and inserting graphical elements into an image stream in response to detecting the object. The systems and methods detect an object of interest in received frames of a video stream. The systems and methods identify a bounding box for the object of interest and estimate a three-dimensional position of the object of interest based on a scale of the object of interest. The systems and methods generate one or more graphical elements having a size based on the scale of the object of interest and a position based on the three-dimensional position estimated for the object of interest. The one or more graphical elements are generated within the video stream to form a modified video stream. The systems and methods cause presentation of the modified video stream including the object of interest and the one or more graphical elements.
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Patent Agency Ranking
公开(公告)号：US12288309B2
公开(公告)日：2025-04-29
申请号：US18499866
申请日：2023-11-01
Applicant: Snap Inc.
Inventor： Guohui Wang , Sumant Milind Hanumante , Ning Xu , Yuncheng Li
Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.
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公开(公告)号：US20230290174A1
公开(公告)日：2023-09-14
申请号：US18318556
申请日：2023-05-16
Applicant: Snap Inc.
Inventor： Yuncheng Li , Linjie Yang , Ning Zhang , Zhengyuan Yang
CPC classification number: G06V40/107 , G06F17/15 , G06N3/04 , G06T7/136
Abstract: Segmentation of an image into individual body parts is performed based on a trained model. The model is trained with a plurality of training images, each training image representing a corresponding training figure. The model is also trained with a corresponding plurality of segmentations of the training figures. Each segmentation is generated by positioning body parts between defined positions of joints of the represented figure. The body parts are represented by body part templates obtained from a template library, with the templates defining characteristics of body parts represented by the templates.
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公开(公告)号：US11601391B2
公开(公告)日：2023-03-07
申请号：US17713020
申请日：2022-04-04
Applicant: Snap Inc.
Inventor： Harsh Agrawal , Xuan Huang , Jung Hyun Kim , Yuncheng Li , Yiwei Ma , Tao Ning , Ye Tao
IPC: G06F3/0482 , H04L51/52 , G06K9/62 , G06T7/00 , H04L65/1069 , H04L51/222 , H04L67/01
Abstract: Systems, methods, devices, computer readable instruction media, and other embodiments are described for automated image processing and insight presentation. One embodiment involves receiving a plurality of ephemeral content messages from a plurality of client devices, and processing the messages to identify content associated with at least a first content type. A set of analysis data associated with the first content type is then generated from the messages, and portions of the messages associated with the first content type are processed to generate a first content collection. The first content collection and the set of analysis data are then communicated to a client device configured for a display interface comprising the first content collection and a representation of at least a portion of the set of analysis data.
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公开(公告)号：US20230034794A1
公开(公告)日：2023-02-02
申请号：US17878591
申请日：2022-08-01
Applicant: Snap Inc.
Inventor： Yuncheng Li , Zhou Ren , Ning Xu , Enxu Yan , Tan Yu
Abstract: Systems and methods are disclosed for capturing multiple sequences of views of a three-dimensional object using a plurality of virtual cameras. The systems and methods generate aligned sequences from the multiple sequences based on an arrangement of the plurality of virtual cameras in relation to the three-dimensional object. Using a convolutional network, the systems and methods classify the three-dimensional object based on the aligned sequences and identify the three-dimensional object using the classification.
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公开(公告)号：US11468636B2
公开(公告)日：2022-10-11
申请号：US17222176
申请日：2021-04-05
Applicant: Snap Inc.
Inventor： Liuhao Ge , Zhou Ren , Yuncheng Li , Zehao Xue , Yingying Wang
Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for receiving a monocular image that includes a depiction of a hand and extracting features of the monocular image using a plurality of machine learning techniques. The program and method further include modeling, based on the extracted features, a pose of the hand depicted in the monocular image by adjusting skeletal joint positions of a three-dimensional (3D) hand mesh using a trained graph convolutional neural network (CNN); modeling, based on the extracted features, a shape of the hand in the monocular image by adjusting blend shape values of the 3D hand mesh representing surface features of the hand depicted in the monocular image using the trained graph CNN; and generating, for display, the 3D hand mesh adjusted to model the pose and shape of the hand depicted in the monocular image.
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