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    Machine learned single image icon identification
    13.
    发明授权
    Machine learned single image icon identification 有权

    公开(公告)号：US11348328B2

    公开(公告)日：2022-05-31

    申请号：US17249499

    申请日：2021-03-03

    Applicant: Snap Inc.

    Inventor： Meng Song ,  Harsh Agrawal ,  Xiaoyu Wang ,  Xuan Huang ,  William Brendel

    IPC: G06V10/20 ,  G06K9/62 ,  G06N20/00 ,  G06V10/26 ,  G06V10/75

    Abstract: Systems, devices, media, and methods are presented for graphical icon identification within an image or video stream. The systems and methods receive an image including a graphical icon. The systems and methods identify a set of proposed regions of the image, at least one proposed region of the set of proposed regions containing the graphical icon and extract a set of semantic features for each proposed region of the set of proposed regions. Based on the set of semantic features of the set of proposed regions, the systems and methods identify a set of proposed icons corresponding to the graphical icon included in the image and determine a match between the graphical icon and at least one proposed icon of the set of proposed icons.

    Neural networks for facial modeling
    14.
    发明授权
    Neural networks for facial modeling 有权

    公开(公告)号：US11100311B2

    公开(公告)日：2021-08-24

    申请号：US16509083

    申请日：2019-07-11

    Applicant: Snap Inc.

    Inventor： Jia Li ,  Xutao Lv ,  Xiaoyu Wang ,  Xuehan Xiong ,  Jianchao Yang

    IPC: G06K9/00 ,  G06T7/11 ,  G06K9/62

    Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

    Neural networks for facial modeling
    15.
    发明授权
    Neural networks for facial modeling 有权

    公开(公告)号：US10395100B1

    公开(公告)日：2019-08-27

    申请号：US16226084

    申请日：2018-12-19

    Applicant: Snap Inc.

    Inventor： Jia Li ,  Xutao Lv ,  Xiaoyu Wang ,  Xuehan Xiong ,  Jianchao Yang

    IPC: G06K9/00 ,  G06T7/11

    Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

    Neural networks for facial modeling
    16.
    发明授权
    Neural networks for facial modeling 有权

    公开(公告)号：US10198626B2

    公开(公告)日：2019-02-05

    申请号：US15297789

    申请日：2016-10-19

    Applicant: Snap Inc.

    Inventor： Jia Li ,  Xutao Lv ,  Xiaoyu Wang ,  Xuehan Xiong ,  Jianchao Yang

    IPC: G06K9/00 ,  G06T7/00

    Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

    Systems and methods for content tagging
    17.
    发明授权
    Systems and methods for content tagging 有权

    公开(公告)号：US10157333B1

    公开(公告)日：2018-12-18

    申请号：US15247697

    申请日：2016-08-25

    Applicant: Snap Inc.

    Inventor： Xiaoyu Wang ,  Ning Xu ,  Ning Zhang ,  Vitor R. Carvalho ,  Jia Li

    IPC: G06K9/62 ,  G06T1/00 ,  G06N3/08 ,  G06F17/30

    Abstract: Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.

    TAG DISTRIBUTION VISUALIZATION SYSTEM
    18.
    发明申请
    TAG DISTRIBUTION VISUALIZATION SYSTEM 有权

    公开(公告)号：US20230029356A1

    公开(公告)日：2023-01-26

    申请号：US17936277

    申请日：2022-09-28

    Applicant: Snap Inc.

    Inventor： Xuan Huang ,  Andrew Maxwell ,  Shuai Tong ,  Xiaoyu Wang

    IPC: G06F16/29 ,  G06F16/487 ,  G06F16/48 ,  G06V10/20

    Abstract: In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

    Tag distribution visualization system
    19.
    发明授权
    Tag distribution visualization system 有权

    公开(公告)号：US11487794B2

    公开(公告)日：2022-11-01

    申请号：US16810254

    申请日：2020-03-05

    Applicant: Snap Inc.

    Inventor： Xuan Huang ,  Andrew Maxwell ,  Shuai Tong ,  Xiaoyu Wang

    IPC: G06F16/29 ,  G06F16/487 ,  G06F16/48 ,  G06V10/20

    Abstract: In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

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