Invention Grant
- Patent Title: Adapting image vectorization operations using machine learning
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Application No.: US15815883Application Date: 2017-11-17
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Publication No.: US10536164B2Publication Date: 2020-01-14
- Inventor: Nikhil Gupta , Kriti Dang , Stakshi Jindal Garg
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/36
- IPC: G06K9/36 ; H03M7/30 ; G06T9/20 ; G06K9/62 ; G06T9/00 ; G06K9/46

Abstract:
A content-creation computing system transforms an input raster graphic into a output vector graphic by applying a customization specific to visual characteristics of the input raster graphic. The content-creation computing system provides the input raster graphic to a customization-identification network having a multi-label classifier. The content-creation computing system generates, with the multi-label classifier, a first probability that a first customization operation is applicable to the input raster graphic and a second probability that a second customization operation is applicable to the input raster graphic, wherein the first probability is greater than the second probability. The content-creation computing system selects the first customization operation as the customization specific to the input raster graphic. The content-creation computing system executes a vectorization algorithm that performs the first customization operation using the input raster graphic as an input and displays or otherwise outputs a vector graphic generated by the vectorization algorithm.
Public/Granted literature
- US20190158112A1 ADAPTING IMAGE VECTORIZATION OPERATIONS USING MACHINE LEARNING Public/Granted day:2019-05-23
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