A probability-based metric for rapid retrieval of eye-gaze distribution data

Daisuke Sakurai, Shigeo Takahashi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

In this paper, we present a novel method for rapidly retrieving eye-gaze distributions that are similar to the user input. When analyzing images such as artistic paintings and photographs, the corresponding distributions of eye-gaze fixations provide useful information about the salient features embedded in the target images. Nonetheless, due to the lack of appropriate models for representing uncertainties in eye-gaze distributions, conventional retrieval techniques based on image processing do not fully allow us to identify similar distributions, and thus usually lead to time-consuming side-byside visual comparison between eye-gaze fixation distributions that is error-prone. For facilitating such data retrieval, we introduce a probability-based metric together with a search algorithm for the distributions of eye-gaze fixations. The effectiveness of the proposed method has been tested through a user study, in which we compared the results by our system with those obtained through a user study.

本文言語英語
ホスト出版物のタイトルProc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012
ページ152-156
ページ数5
出版ステータス出版済み - 12月 1 2012
外部発表はい
イベントIADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS Multi Conference on Computer Science and Information Systems 2012, MCCSIS 2012 - Lisbon, ポルトガル
継続期間: 7月 21 20127月 23 2012

出版物シリーズ

名前Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012

会議

会議IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS Multi Conference on Computer Science and Information Systems 2012, MCCSIS 2012
国/地域ポルトガル
CityLisbon
Period7/21/127/23/12

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム

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