skip to main content
10.1145/2931002.2947703acmconferencesArticle/Chapter ViewAbstractPublication PagessapConference Proceedingsconference-collections
abstract

Leveraging gaze data for segmentation and effects on comics

Published: 22 July 2016 Publication History

Abstract

In this work, we present a semi-automatic method based on gaze data to identify the objects in comic images on which digital effects will look best. Our key contribution is a robust technique to cluster the noisy gaze data without having to specify the number of clusters as input. We also present an approach to segment the identified object of interest.

References

[1]
Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., and Süsstrunk, S. 2010. Slic superpixels. Tech. rep.
[2]
Archive, 2015. Internet archive. http://comicbookplus.com/?dlid=20927.
[3]
Jain, E., Sheikh, Y., and Hodgins, J. 2012. Inferring artistic intention in comic art through viewer gaze. In Proceedings of the ACM Symposium on Applied Perception, ACM, 55--62.
[4]
Santella, A., and DeCarlo, D. 2004. Robust clustering of eye movement recordings for quantification of visual interest. In Proceedings of the 2004 symposium on Eye tracking research & applications, ACM, 27--34.
[5]
Shea, J. M., and Macker, J. P. 2013. Automatic selection of number of clusters in networks using relative eigenvalue quality. In Military Communications Conference, MILCOM 2013-2013 IEEE, IEEE, 131--136.
[6]
Shi, J., and Malik, J. 2000. Normalized cuts and image segmentation. Pattern Analysis and Machine Intelligence, IEEE Transactions on 22, 8, 888--905.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SAP '16: Proceedings of the ACM Symposium on Applied Perception
July 2016
149 pages
ISBN:9781450343831
DOI:10.1145/2931002
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.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2016

Check for updates

Author Tags

  1. clustering
  2. comics
  3. effects
  4. eyetracking
  5. segmentation

Qualifiers

  • Abstract

Conference

SAP '16
Sponsor:
SAP '16: ACM Symposium on Applied Perception 2016
July 22 - 23, 2016
California, Anaheim

Acceptance Rates

Overall Acceptance Rate 43 of 94 submissions, 46%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 79
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media