skip to main content
10.1145/1873951.1874306acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
demonstration

Web-based semantic browsing of video collections using multimedia ontologies

Published:25 October 2010Publication History

ABSTRACT

In this technical demonstration we present a novel web-based tool that allows a user friendly semantic browsing of video collections, based on ontologies, concepts, concept relations and concept clouds. The system is developed as a Rich Internet Application (RIA) to achieve a fast responsiveness and ease of use that can not be obtained by other web application paradigms, and uses streaming to access and inspect the videos. Users can also use the tool to browse the content of social and media sharing sites like YouTube, Flickr and Twitter, accessing these external resources through the ontologies used in the system. The tool has won the second prize in the Adobe YouGC contest, in the RIA category.

References

  1. A.F. Smeaton, P. Over, and W. Kraaij. High-level feature detection from video in TRECVid: a 5-year retrospective of achievements. Multimedia Content Analysis, Theory and Applications, pages 151--174, 2009.Google ScholarGoogle Scholar
  2. Cees G. M. Snoek, Koen E. A. van de Sande, Ork de Rooij, Bouke Huurnink, Jasper R. R. Uijlings, Michiel van Liempt, Miguel Bugalho, Isabel Trancoso, Fei Yan, Muhammad A. Tahir, Krystian Mikolajczyk, Josef Kittler, Maarten de Rijke, Jan-Mark Geusebroek, Theo Gevers, Marcel Worring, Dennis C. Koelma, and Arnold W. M. Smeulders. The MediaMill TRECVID 2009 semantic video search engine. In Proceedings of the 7th TRECVID Workshop, Gaithersburg, USA, November 2009.Google ScholarGoogle Scholar
  3. A. Natsev, J.R. Smith, J. Teic, L. Xie, R. Yan, W. Jiang, and M. Merler. IBM Research TRECVID-2008 video retrieval system. In Proceedings of the 6th TRECVID Workshop, 2008.Google ScholarGoogle Scholar
  4. Klaus Schoeffmann and Laszlo Boeszoermenyi. Video browsing using interactive navigation summaries. In CBMI ’09: Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing, pages 243--248, Washington, DC, USA, 2009. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Thierry Urruty, Frank Hopfgartner, David Hannah, Desmond Elliott, and Joemon M. Jose. Supporting aspect-based video browsing: analysis of a user study. In CIVR '09: Proceeding of the ACM International Conference on Image and Video Retrieval, pages 1--8, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. W. Bailer, W. Weiss, G. Kienast, G. Thallinger, and W. Haas. A video browsing tool for content management in postproduction. International Journal of Digital Multimedia Broadcasting, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  7. Stuart K. Card, Jock Mackinlay, and Ben Shneiderman. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, January 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. E. Di Giacomo, W. Didimo, L. Grilli, and G. Liotta. Graph visualization techniques for web clustering engines. Transactions on Visualization and Computer Graphics, 13(2):294--304, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Ivan Herman, Guy Melanc con, and M. Scott Marshall. Graph visualization and navigation in information visualization: A survey. IEEE Transactions on Visualization and Computer Graphics, 6(1):24--43, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. K. Misue, P. Eades, W. Lai, and K. Sugiyama. Layout adjustment and the mental map. Journal of Visual Languages & Computing, 6(2):183--210, 1995.Google ScholarGoogle Scholar
  11. Marco Bertini, Alberto Del Bimbo, Giuseppe Serra, Carlo Torniai, Rita Cucchiara, Costantino Grana, and Roberto Vezzani. Dynamic pictorially enriched ontologies for digital video libraries. IEEE MultiMedia, 16(2):42--51, Apr/Jun 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Birdeye information visualization and visual analytics library, http://code.google.com/p/birdeye/.Google ScholarGoogle Scholar

Index Terms

  1. Web-based semantic browsing of video collections using multimedia ontologies

        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
          MM '10: Proceedings of the 18th ACM international conference on Multimedia
          October 2010
          1836 pages
          ISBN:9781605589336
          DOI:10.1145/1873951

          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: 25 October 2010

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • demonstration

          Acceptance Rates

          Overall Acceptance Rate995of4,171submissions,24%

          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