skip to main content
10.1145/1385569.1385628acmconferencesArticle/Chapter ViewAbstractPublication PagesaviConference Proceedingsconference-collections
poster

Face bubble: photo browsing by faces

Published: 28 May 2008 Publication History

Abstract

Face recognition technology presents an opportunity in computer automation to help people better organize their personal photo collections. However, the robustness of the technology needs to improve and how users interact with face clusters needs to go beyond the traditional file folder metaphor. We designed a visualization called face bubble that supports both fast one-glance view and filtering and exploration of photo collections based on face clustering results. Our clustering algorithm provides a better accuracy rate than previous work and our circular space filling visual design offers an alternative UI based on the traditional weighted list view. Other visualization techniques such as a fisheye view are also integrated into the interface for fast image browsing. Finally, fine tuning of the design based on user feedback improved the aesthetics of the visualization.

References

[1]
Apple iPhoto'08. http://www.apple.com/ilife/iphoto/.
[2]
Ahern, S., Naaman, M., Nair, R. and Yang, J. H. World explorer: Visualizing aggregate data from unstructured text in geo-referenced collections. Proc. JCDL 2007, ACM Press (2007), 1--10.
[3]
Bederson, B. Photomesa: a zoomable image browser using quantum treemaps and bubblemaps. Proc. UIST 2001, ACM Press (2001), 71--80.
[4]
Cui, J., Wen, F., Xiao, R., Tian, Y. and Tang, X. EasyAlbum: An interactive photo annotation system based on face clustering and re-ranking. Proc. CHI 2007. ACM Press (2007), 367--376.
[5]
Girgensohn, A., Adcock, J., Wilcox, L. Leveraging face recognition technology to find and organize photos. Proc. MIR'04, ACM Press (2004), 99--106.
[6]
Graham, A., Garcia-Molina, H., Paepcke, A., and Winograd, T. Time as the essence for photo browsing through personal digital libraries. Proc. JCDL 2002, ACM Press (2002), 326--335.
[7]
Gu, L., Zhang, T. and Ding, X. Clustering Consumer Photos Based on Face Recognition. Proc. ICME07, IEEE (2007), 1998--2001.
[8]
Platt, J. C., Czerwinski, M. and Field, B. A. Phototoc: Automatic clustering for browsing personal photographs. Technical Report MSR-TR-2002-17, Microsoft Research, February 2002.
[9]
Toyama, K., Logan, R., Roseway, A. and Anandan, P. Geographic location tags on digital images. Proc. ACM Multimedia'03, ACM Press (2003), 156--166.

Cited By

View all
  • (2016)Identifying Best Practices for Visualizing Photo Statistics and Galleries using TreemapsProceedings of the International Working Conference on Advanced Visual Interfaces10.1145/2909132.2909280(60-63)Online publication date: 7-Jun-2016
  • (2009)PhorigamiProceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques10.1007/978-3-642-02577-8_88(801-810)Online publication date: 14-Jul-2009

Index Terms

  1. Face bubble: photo browsing by faces

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    AVI '08: Proceedings of the working conference on Advanced visual interfaces
    May 2008
    483 pages
    ISBN:9781605581415
    DOI:10.1145/1385569
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 May 2008

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. clustering
    2. face detection
    3. face recognition
    4. filtering
    5. visualization

    Qualifiers

    • Poster

    Conference

    AVI '08
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 128 of 490 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)6
    • Downloads (Last 6 weeks)4
    Reflects downloads up to 27 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2016)Identifying Best Practices for Visualizing Photo Statistics and Galleries using TreemapsProceedings of the International Working Conference on Advanced Visual Interfaces10.1145/2909132.2909280(60-63)Online publication date: 7-Jun-2016
    • (2009)PhorigamiProceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques10.1007/978-3-642-02577-8_88(801-810)Online publication date: 14-Jul-2009

    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