Invention Grant
- Patent Title: Machine learning to predict cognitive image composition
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Application No.: US15685016Application Date: 2017-08-24
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Publication No.: US10592743B2Publication Date: 2020-03-17
- Inventor: Paul Borrel , Alvaro B. Buoro , Ruberth A. A. Barros , Daniel Salles Chevitarese
- 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: Scully, Scott, Murphy & Presser, P.C.
- Agent Joseph Petrokaitis
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06N3/00 ; G06N20/00 ; G06T11/00 ; G06K9/62 ; G06K9/32

Abstract:
An automatic method of determining an image composition procedure that generates a new image visualization based on aggregations and variations of input images. A set of input images is received. Visual features are extracted from the input images. Context associated with input images is received. Based on the extracted visual features and the context associated with the input images, a composition procedure comprising a set of image operations to apply on the set of input images is learned. One or more image operations in the composition procedure are determined to present to a user. A difference visualization image associated with the input images may be generated by executing the one or more image operations.
Public/Granted literature
- US20190065848A1 MACHINE LEARNING TO PREDICT COGNITIVE IMAGE COMPOSITION Public/Granted day:2019-02-28
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