Enjoying text input with image-enabled ime

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

Abstract

Tremendous amount of images are used on modern Web pages, but images are rarely used in everyday communication via e-mail, SMS, SNS, etc., although many communication systems allow the use of images in the message We believe that images can greatly enhance the quality of communication if they are appropriately used with alphabetical texts, and we created a text input system with which users can handle images on HTML editors and word processors just like they can handle words in East-Asian languages In this paper, we show how images are useful in everyday communication, and show how we can handle images with existing popular dictionary-based text input systems for East-Asian languages Images are not only useful for rich communication, but they are fun to use and useful for conveying emotions

Original languageEnglish
Title of host publicationAdvances in Computer Entertainment - 9th International Conference, ACE 2012, Proceedings
Pages297-308
Number of pages12
DOIs
Publication statusPublished - 2012 Nov 2
Event9th International Conference on Advances in Computer Entertainment, ACE 2012 - Kathmandu, Nepal
Duration: 2012 Nov 32012 Nov 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7624 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Advances in Computer Entertainment, ACE 2012
CountryNepal
CityKathmandu
Period12/11/312/11/5

Keywords

  • Dictionary-based Text Input
  • IME
  • Image Input
  • Input Method Editor
  • Text Input Systems

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Masui, T. (2012). Enjoying text input with image-enabled ime. In Advances in Computer Entertainment - 9th International Conference, ACE 2012, Proceedings (pp. 297-308). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7624 LNCS). https://doi.org/10.1007/978-3-642-34292-9-21