- Patent Title: Machine-in-the-loop, image-to-video computer vision bootstrapping
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Application No.: US15941437Application Date: 2018-03-30
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Publication No.: US10740394B2Publication Date: 2020-08-11
- Inventor: Yale Song , Guy Dassa , Minho Lee , Jeffrey Scholz , Joao Vitor Baldini Soares
- Applicant: OATH INC.
- Applicant Address: US NY New York
- Assignee: OATH INC.
- Current Assignee: OATH INC.
- Current Assignee Address: US NY New York
- Agency: Greenberg Traurig, LLP
- Agent James J. DeCarlo
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/783 ; G06K9/62 ; G06K9/00 ; G06N20/00 ; G06F16/738

Abstract:
Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel machine-in-the-loop, image-to-video bootstrapping framework that harnesses a training set built upon an image dataset and a video dataset in order to efficiently produce an accurate training set to be applied to frames of videos. The disclosed systems and methods reduce the amount of time required to build the training dataset, and also provide mechanisms to apply the training dataset to any type of content and for any type of recognition task.
Public/Granted literature
- US20190220525A1 MACHINE-IN-THE-LOOP, IMAGE-TO-VIDEO COMPUTER VISION BOOTSTRAPPING Public/Granted day:2019-07-18
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