Invention Application
- Patent Title: MACHINE LEARNED SINGLE IMAGE ICON IDENTIFICATION
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Application No.: US17661868Application Date: 2022-05-03
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Publication No.: US20220262092A1Publication Date: 2022-08-18
- Inventor: Meng Song , Harsh Agrawal , Xiaoyu Wang , Xuan Huang , William Brendel
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Main IPC: G06V10/20
- IPC: G06V10/20 ; G06K9/62 ; G06N20/00 ; G06V10/26

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.
Public/Granted literature
- US11676019B2 Machine learned single image icon identification Public/Granted day:2023-06-13
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