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.

    Machine learned single image icon identification

    公开(公告)号:US10970577B1

    公开(公告)日:2021-04-06

    申请号:US16136998

    申请日:2018-09-20

    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.

    MACHINE LEARNED SINGLE IMAGE ICON IDENTIFICATION

    公开(公告)号:US20220262092A1

    公开(公告)日:2022-08-18

    申请号:US17661868

    申请日:2022-05-03

    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.

    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.

    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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