Invention Grant
- Patent Title: Image classification utilizing semantic relationships in a classification hierarchy
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Application No.: US15813401Application Date: 2017-11-15
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Publication No.: US10102454B2Publication Date: 2018-10-16
- Inventor: Michele Merler , John R. Smith , Rosario A. Uceda-Sosa , Hui Wu
- 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: Ryan, Mason & Lewis, LLP
- Agent Rahan Oddin
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/66 ; G06K9/62

Abstract:
A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.
Public/Granted literature
- US20180089543A1 IMAGE CLASSIFICATION UTILIZING SEMANTIC RELATIONSHIPS IN A CLASSIFICATION HIERARCHY Public/Granted day:2018-03-29
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