DeepFont: A system for font recognition and similarity

Zhangyang Wang, Jianchao Yang, Hailin Jin, Jonathan Brandt, Eli Shechtman, Aseem Agarwala, Zhaowen Wang, Yuyan Song, Joseph Hsieh, Sarah Kong, Thomas S Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We develop the DeepFont system, a large-scale learning-based solution for automatic font identification, organization and selection. In this proposed technical demonstration, we will give our audience a tour to the DeepFont system, with the focus on its impacts on real consumer products, includ-ing but not limited to: 1) a cloud-based iOS App for font recognition; 2) a web-based tool for font similarity evalua-tion and discovery.

Original languageEnglish (US)
Title of host publicationMM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PublisherAssociation for Computing Machinery
Pages813-814
Number of pages2
ISBN (Electronic)9781450334594
DOIs
StatePublished - Oct 13 2015
Event23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia
Duration: Oct 26 2015Oct 30 2015

Publication series

NameMM 2015 - Proceedings of the 2015 ACM Multimedia Conference

Other

Other23rd ACM International Conference on Multimedia, MM 2015
Country/TerritoryAustralia
CityBrisbane
Period10/26/1510/30/15

Keywords

  • Deep Learning
  • Domain Adapta-tion
  • Model Compression
  • Visual Font Recognition

ASJC Scopus subject areas

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint

Dive into the research topics of 'DeepFont: A system for font recognition and similarity'. Together they form a unique fingerprint.

Cite this