Invention Grant
- Patent Title: Computer generated data analysis and learning to derive multimedia factoids
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Application No.: US16940306Application Date: 2020-07-27
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Publication No.: US11675822B2Publication Date: 2023-06-13
- Inventor: Aaron K. Baughman , Stephen C. Hammer , Corey B. Shelton , Nicholas Michael Wilkin , Sara Perelman
- 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
- Agent Michael A. Petrocelli
- Main IPC: G06F16/34
- IPC: G06F16/34 ; G06T11/60

Abstract:
A relevant factoid(s) related to multimedia data is generated by splitting a multimedia item into a media component and a text component. Text information is retrieved relevant to text data from the text component using a query. The text information is summarized into a factoid. Source data is checked for an image based on the multimedia component. A current state image is generated from the image. The factoid and the current state image are combined into a combined factoid, and the combined factoid is stored for sending to a media outlet for presentation on a media format.
Public/Granted literature
- US20220027550A1 COMPUTER GENERATED DATA ANALYSIS AND LEARNING TO DERIVE MULTIMEDIA FACTOIDS Public/Granted day:2022-01-27
Information query