Invention Grant
- Patent Title: Cross-modal weak supervision for media classification
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Application No.: US18165926Application Date: 2023-02-07
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Publication No.: US12094230B2Publication Date: 2024-09-17
- Inventor: Girija Narlikar , Abishek Sethi , Sahaana Suri , Raghuveer Chanda
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: MARSHALL, GERSTEIN & BORUN LLP
- Main IPC: G06V30/19
- IPC: G06V30/19 ; G06F16/45 ; G06F18/213 ; G06F18/214 ; G06F18/241 ; G06N20/00 ; G06V10/77 ; G06V10/778 ; G06V10/82 ; G06V30/10

Abstract:
Methods, systems, and storage media for classifying content across media formats based on weak supervision and cross-modal training are disclosed. The system can maintain a first feature classifier and a second feature classifier that classifies features of content having a first and second media format, respectively. The system can extract a feature space from a content item using the first feature classifier and the second feature classifier. The system can apply a set of content rules to the feature space to determine content metrics. The system can correlate a set of known labelled data to the feature space to construct determinative training data. The system can train a discrimination model using the content item and the determinative training data. The system can classify content using the discrimination model to assign a content policy to the second content item.
Public/Granted literature
- US20230260303A1 Cross-Modal Weak Supervision For Media Classification Public/Granted day:2023-08-17
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