公开(公告)号：US10528649B2

公开(公告)日：2020-01-07

申请号：US15280505

申请日：2016-09-29

Applicant: Adobe Inc.

Inventor： Zhaowen Wang ,  Hailin Jin

IPC: G06F17/21

Abstract: Font recognition and similarity determination techniques and systems are described. For example, a computing device receives an image including a font and extracts font features corresponding to the font. The computing device computes font feature distances between the font and fonts from a set of training fonts. The computing device calculates, based on the font feature distances, similarity scores for the font and the training fonts used for calculating features distances. The computing device determines, based on the similarity scores, final similarity scores for the font relative to the training fonts.

公开(公告)号：US20190272451A1

公开(公告)日：2019-09-05

申请号：US16417115

申请日：2019-05-20

Applicant: Adobe Inc.

Inventor： Zhe Lin ,  Mai Long ,  Jonathan Brandt ,  Hailin Jin ,  Chen Fang

IPC: G06K9/66 ,  G06F16/532 ,  G06K9/72 ,  G06K9/62 ,  G06K9/46 ,  G06N3/08 ,  G06K9/52

Abstract: The present disclosure includes methods and systems for searching for digital visual media based on semantic and spatial information. In particular, one or more embodiments of the disclosed systems and methods identify digital visual media displaying targeted visual content in a targeted region based on a query term and a query area provide via a digital canvas. Specifically, the disclosed systems and methods can receive user input of a query term and a query area and provide the query term and query area to a query neural network to generate a query feature set. Moreover, the disclosed systems and methods can compare the query feature set to digital visual media feature sets. Further, based on the comparison, the disclosed systems and methods can identify digital visual media portraying targeted visual content corresponding to the query term within a targeted region corresponding to the query area.