A framework for supporting the recall of the scenes in complicated documenting processes using screenshots

Masahiro Seino, Ryo Onuma, Hiroki Nakayama, Youzou Miyadera, Shoichi Nakamura

研究成果: Conference contribution

抄録

Complicated documenting composed of a stacking of document creation and its elaboration involving multiple works such as reading existing documents and Web exploration has increasingly conducted. To successfully progress the elaboration, it is important to manage skillfully the deliverables along with their editing processes and utilize them for later work. However, such management is generally difficult because of work lengthening and the diversity of information involved with the complicated processes. In this research, we were aiming at developing novel support methods for recalling the documents used in the past works by focusing on screenshots as a trigger to recollect the work scenes. This paper initially describes a framework of our support methods that begins from the accumulation of user's operation histories and reaches to visual suggestion of the promising screenshots. Moreover, we describe methods for extracting the screenshots valuable for recall. Finally, this paper describes the experiment on screenshots selection and the features of our methods are discussed based on its results.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ135-140
ページ数6
ISBN(電子版)9781538607831
DOI
出版ステータスPublished - 2018 3月 9
外部発表はい
イベント2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Phuket, Thailand
継続期間: 2017 11月 202017 11月 22

出版物シリーズ

名前2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017 - Proceedings
2017-November

Other

Other2017 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCOM 2017
国/地域Thailand
CityPhuket
Period17/11/2017/11/22

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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