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DeepFont: A System for Font Recognition and Similarity

Published:13 October 2015Publication History

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, including but not limited to: 1) a cloud-based iOS App for font recognition; 2) a web-based tool for font similarity evaluation and discovery.

References

  1. . Wang, J. Yang, H. Jin, E. Shechtman, A. Agarwala, J. Brandt and T. Huang, "DeepFont: Identify Your Font from An Image", IntextitProceedings of ACM International Conference on Multimedia, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. DeepFont: A System for Font Recognition and Similarity

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          • Published in

            cover image ACM Conferences
            MM '15: Proceedings of the 23rd ACM international conference on Multimedia
            October 2015
            1402 pages
            ISBN:9781450334594
            DOI:10.1145/2733373

            Copyright © 2015 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 13 October 2015

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            Qualifiers

            • demonstration

            Acceptance Rates

            MM '15 Paper Acceptance Rate56of252submissions,22%Overall Acceptance Rate995of4,171submissions,24%

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            MM '24: The 32nd ACM International Conference on Multimedia
            October 28 - November 1, 2024
            Melbourne , VIC , Australia

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