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

Daisuke Sakurai, Shigeo Takahashi

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

Abstract

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.

Original languageEnglish
Title of host publicationProc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012
Pages152-156
Number of pages5
Publication statusPublished - Dec 1 2012
Externally publishedYes
EventIADIS 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, Portugal
Duration: Jul 21 2012Jul 23 2012

Publication series

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

Conference

ConferenceIADIS 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
CountryPortugal
CityLisbon
Period7/21/127/23/12

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All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Information Systems

Cite this

Sakurai, D., & Takahashi, S. (2012). A probability-based metric for rapid retrieval of eye-gaze distribution data. In Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012 (pp. 152-156). (Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012).