Invention Grant
- Patent Title: Systems and methods for inferring gender by fusion of multimodal content
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Application No.: US15226789Application Date: 2016-08-02
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Publication No.: US09684852B2Publication Date: 2017-06-20
- Inventor: Liangliang Cao , Michele Merler , John R. Smith
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Alexa Ashworth
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06F17/27 ; G06K9/00 ; G06K9/32 ; G06N5/04 ; G06N7/00

Abstract:
A method and systems are provided. A system includes a set of visual and textual classifiers for recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user, and performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions. The system further includes a multimodal information fusion device for combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores to infer a gender of a user.
Public/Granted literature
- US20160379086A1 SYSTEMS AND METHODS FOR INFERRING GENDER BY FUSION OF MULTIMODAL CONTENT Public/Granted day:2016-12-29
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