skip to main content
10.1145/1743384.1743461acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
demonstration

Assessment of the utility of tag clouds for faster image retrieval

Published:29 March 2010Publication History

ABSTRACT

Flickr™, a web-based system for online photo management, has experienced rapid growth in popularity over the past several years, due to an increase in photo sharing as a social networking tool. Part of the excitement about Flickr is due to its use of tag clouds, which permit key words to be used as 'tags' associated with photos. Once tags are added to a photo, the picture can be retrieved for viewing by others based on the key words found the tag cloud associated with the photo. The research presented here examines the selection of words for inclusion in a tag cloud, and identifies the significance of the careful selection of tags. More frequently used words contribute to slower image retrieval, while less frequently used words, such as non-English terms, demonstrate a measurable increase in overall retrieval speed for the images associated with the tags. In addition, a personal tag cloud is built, integrated into Flickr, and shown to reduce the time taken for image retrieval by a factor of three, depending on the total number of images using the selected tag.

References

  1. Flickr - Wikipedia. http://en.wikipedia.org/wiki/FlickrGoogle ScholarGoogle Scholar
  2. Graham, J., "Flickr of idea on a gaming project led to photo website", USA Today, February 27, 2006. http://www.usatoday.com/tech/prodcuts/2006-02-27-flickr_x.htm .Google ScholarGoogle Scholar
  3. Horster, E., Lienhart, R., Slaney, M. "Image Retrieval on Large-Scale Image Databases", Proceedings of the 6th ACM International Conference on Image and Video Retrieval (CIVR '07), July 2007, Amsterdam, Netherlands, pp. 17--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Krumm, J., Davies, N., and Narayanaswami, C. "Content Sharing" IEEE Pervasive Computing, Volume 8, Number 4, Oct-Dec 2009, pp. 33--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Barnard, K., Duygulu, P., Forsyth, D., de Freitas, N., Blei, D. and Jordan, M. "Matching Words and Pictures", Journal of Machine Learning Research, Volume 3, pp. 1107--1135, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Blei, D., Ng, A. and Jordan, M., "Latent Dirichlet Allocation", Journal of Machine Learning Research, Volume 3, pp. 993--1022, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Yan, R., Natsev, A., and Campbell, M., "Hybrid Tagging and Browsing Approaches for Efficient Manual Image Annotation", IEEE Multimedia, Volume 16, Number 2, April-June 2009, pp. 26--41. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Tag (metadata) - Wikipedia http://en.wikipedia.org/wiki/Tag_(metadata)Google ScholarGoogle Scholar
  9. Tag Cloud - Wikipedia. http://en.wikipedia.org/wiki/Tag_cloudGoogle ScholarGoogle Scholar
  10. Cope, A. "Machine tags". posting in the Flickr API group, January 24, 2007, http://www.flickr.com/groups/api/discuss/72157594497877875/Google ScholarGoogle Scholar
  11. Gube, J., Denis, T., Noack, S., and Inchauste, F. "40 Useful and Creative Infographics". Six Revisions. Web. December 21, 2009. http://images.sixrevisions.com/2009/05/09-35_flickr_usermodel.jpg>.Google ScholarGoogle Scholar

Index Terms

  1. Assessment of the utility of tag clouds for faster image retrieval

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            MIR '10: Proceedings of the international conference on Multimedia information retrieval
            March 2010
            600 pages
            ISBN:9781605588155
            DOI:10.1145/1743384

            Copyright © 2010 ACM

            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]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 29 March 2010

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • demonstration

            Upcoming Conference

            MM '24
            MM '24: The 32nd ACM International Conference on Multimedia
            October 28 - November 1, 2024
            Melbourne , VIC , Australia

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader