Invention Application
- Patent Title: ORGANIZING AND REPRESENTING A COLLECTION OF FONTS ACCORDING TO VISUAL SIMILARITY UTILIZING MACHINE LEARNING
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Application No.: US17007790Application Date: 2020-08-31
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Publication No.: US20220067461A1Publication Date: 2022-03-03
- Inventor: Spyridon Ampanavos , Paul Asente , Jose Ignacio Echevarria Vallespi , Zhaowen Wang
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06K9/68
- IPC: G06K9/68 ; G06K9/46 ; G06K9/62 ; G06F40/109 ; G06F3/0482 ; G06N3/08 ; G06N3/04

Abstract:
The present disclosure relates to systems, methods, and non-transitory computer readable media for utilizing a visual-feature-classification model to generate font maps that efficiently and accurately organize fonts based on visual similarities. For example, the disclosed systems can extract features from fonts of varying styles and utilize a self-organizing map (or other visual-feature-classification model) to map extracted font features to positions within font maps. Further, the disclosed systems can also magnify areas of font maps by mapping some fonts within a bounded area to positions within a higher-resolution font map. Additionally, the disclosed systems can navigate the font map to identify visually similar fonts (e.g., fonts within a threshold similarity).
Public/Granted literature
- US11625932B2 Organizing and representing a collection of fonts according to visual similarity utilizing machine learning Public/Granted day:2023-04-11
Information query