公开(公告)号：US20220067461A1

公开(公告)日：2022-03-03

申请号：US17007790

申请日：2020-08-31

Applicant: Adobe Inc.

Inventor： Spyridon Ampanavos ,  Paul Asente ,  Jose Ignacio Echevarria Vallespi ,  Zhaowen Wang

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).

公开(公告)号：US11625932B2

公开(公告)日：2023-04-11

申请号：US17007790

申请日：2020-08-31

Applicant: Adobe Inc.

Inventor： Spyridon Ampanavos ,  Paul Asente ,  Jose Ignacio Echevarria Vallespi ,  Zhaowen Wang

IPC: G06F17/00 ,  G06V30/244 ,  G06N3/04 ,  G06F40/109 ,  G06F3/0482 ,  G06N3/08 ,  G06V10/40 ,  G06V10/75 ,  G06F18/22 ,  G06F18/2137

Abstract: Utilizing a visual-feature-classification model to generate font maps that efficiently and accurately organize fonts based on visual similarities. For example, extracting 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, magnifying areas of font maps by mapping some fonts within a bounded area to positions within a higher-resolution font map. Additionally, navigating the font map to identify visually similar fonts (e.g., fonts within a threshold similarity).