Machine learned single image icon identification

    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.

    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.

    TAG DISTRIBUTION VISUALIZATION SYSTEM
    12.
    发明公开

    公开(公告)号:US20240256595A1

    公开(公告)日:2024-08-01

    申请号:US18633132

    申请日:2024-04-11

    Applicant: Snap Inc.

    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

    公开(公告)号:US11983215B2

    公开(公告)日:2024-05-14

    申请号:US17936277

    申请日:2022-09-28

    Applicant: Snap Inc.

    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.

    Machine learned single image icon identification

    公开(公告)号:US11676019B2

    公开(公告)日:2023-06-13

    申请号:US17661868

    申请日:2022-05-03

    Applicant: Snap Inc.

    CPC classification number: G06N3/08 G06F18/22 G06N20/00 G06V10/751 G06V20/10

    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.

    Automated image processing and insight presentation

    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.

    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.

    MACHINE LEARNED SINGLE IMAGE ICON IDENTIFICATION

    公开(公告)号:US20210192259A1

    公开(公告)日:2021-06-24

    申请号:US17249499

    申请日:2021-03-03

    Applicant: Snap Inc.

    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.

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