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公开(公告)号：US20220092370A1
公开(公告)日：2022-03-24
申请号：US17025000
申请日：2020-09-18
Applicant: Adobe Inc.
Inventor： Vipul Aggarwal , Lakshay Kumar , Bhavna Sardana , Amit Sharma
Abstract: In implementations of systems for font replacement in print workflows, a computing device implements a print system to receive print request data describing a document having a corpus of text rendered using a font that is not available to the print system. The print system extracts the corpus of text from the document and generates an indication of a context category of the corpus of text using a machine learning model training to classify context categories of text inputs using training data describing a different corpus of text. A replacement font is identified based on the indication of the context category from replacement font data describing a plurality of candidate replacement fonts. The printing system generates a raster image depicting the corpus of text rendered using the replacement font.
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公开(公告)号：US11386310B2
公开(公告)日：2022-07-12
申请号：US17025000
申请日：2020-09-18
Applicant: Adobe Inc.
Inventor： Vipul Aggarwal , Lakshay Kumar , Bhavna Sardana , Amit Sharma
Abstract: In implementations of systems for font replacement in print workflows, a computing device implements a print system to receive print request data describing a document having a corpus of text rendered using a font that is not available to the print system. The print system extracts the corpus of text from the document and generates an indication of a context category of the corpus of text using a machine learning model training to classify context categories of text inputs using training data describing a different corpus of text. A replacement font is identified based on the indication of the context category from replacement font data describing a plurality of candidate replacement fonts. The printing system generates a raster image depicting the corpus of text rendered using the replacement font.
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