Invention Grant
- Patent Title: Generating a textual description of an image using domain-independent anomaly analysis
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Application No.: US15989153Application Date: 2018-05-24
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Publication No.: US10685172B2Publication Date: 2020-06-16
- Inventor: Jonathan H. Connell, II , Sharathchandra Pankanti , 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: Garg Law Firm, PLLC
- Agent Rakesh Garg; Anthony Curro
- Main IPC: G06F40/169
- IPC: G06F40/169 ; G06T7/00 ; G06T7/11 ; G06K9/62 ; G06F16/58

Abstract:
Generating a textual description of an image includes classifying an image represented by image data into a domain-specific category, and segmenting one or more elements in the image data based on the domain-specific category. Each element of the one or more elements is compared to a domain-independent model to detect one or more statistical anomalies in the one or more elements. The one or more detected statistical anomalies are characterized using one or more domain-independent text phrases. The one or more domain-independent text phrases are converted to one or more domain-specific descriptions based upon the domain-specific category.
Public/Granted literature
- US20190361965A1 GENERATING A TEXTUAL DESCRIPTION OF AN IMAGE USING DOMAIN-INDEPENDENT ANOMALY ANALYSIS Public/Granted day:2019-11-28
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