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