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Live television in a digital library

Published:10 June 2012Publication History

ABSTRACT

The number of channels of digital television is increasing, particularly the number that are free-to-air. However due to the nature of broadcasting, this morass of information is not, for the main part, organized---it is principally a succession of images and sound transmitted as multiplexed streams of data. Compare this deluge that terrestrially bombards our homes with the information available in the digital libraries we access over the Internet---stored using software purpose built to help organize carefully curated sets of documents. This project brings together these two seemingly incompatible concepts to develop a software environment that concurrently captures all the available live television channels---so a user does not need to proactively choose what to record---and segments them into files which are then imported into a digital video library with a user interface designed to work from a multimedia remote control. A shifting time-based "window" of all recordings is maintained---we settled on from the last two weeks so as to be practicably operable on a regular desktop PC. The system leverages off the information contained in the electronic program guide and the video recordings to generate metadata suitable for the digital library. A user evaluation of the developed prototype showed a high level of participant satisfaction across a range of attributes, notably date-based searching.

References

  1. C. A. Beer, P. D. Pinch, and K. Cariani. Developing a flexible content model for media repositories: a case study. In Proc. of the 9th ACM/IEEE joint conference on Digital Libraries, pages 97--100, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. R. M. Bolle, B.-L. Yeo, and M. M. Yeung. Video query: Research directions. IBM Journal of Research and Development, pages 233--252, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Bollen. Usage derived recommendations for a video digital library. Journal of network and computer applications, pages 1059--1083, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S.-F. Chang, J. R. Smith, H. J. Meng, H. Wang, and D. Zhong. Finding images/video in large archives: Columbia's content-based visual query project. D-Lib Magazine, February 1997.Google ScholarGoogle Scholar
  5. M. Christel, T. Kanade, M. Mauldin, R. Reddy, M. Sirbu, S. Stevens, and H. Wactlar. Informedia digital video library. Communications of the ACM, pages 57--58, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. D. Elsweiler, S. Mandl, and B. Kirkegaard-Lunn. Understanding casual-leisure information needs: a diary study in the context of television viewing. In Proceedings of the third symposium on Information interaction in context (IIiX '10), pages 25--34. ACM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. D. A. Grossmman and O. Frieder. Algorithms and heuristics. Kluwer Academic Publishers, Boston, USA, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. S. Ioannou, G. Moschovitis, K. Ntalianis, K. Karpouzis, and S. Kollias. Effective access to large audiovisual assets based on user preferences. In Proceedings of the ACM workshop on multimedia, pages 227--232, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. G. Marchionini. Augmenting library services: Toward the Sharium. In Proceedings of International Symposium on Digital Libraries, pages 40--47, Tsukuba, 1999.Google ScholarGoogle Scholar
  10. G. Marchionini. The open video digital library: A Möbius strip of research and practice. Journal of the American Society for Information Science and Technology, pages 1626--1643, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. B. Shneiderman. Dynamic queries for visual information seeking. IEEE Software, pages 70--77, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. M.-L. Shyu, S.-C. Chen, M. Chen, C. Zhang, and K. Sarinnapakorn. Image database retrieval utilizing affinity relationships. In Proceedings of the 1st ACM international workshop on Multimedia databases, pages 78--85, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. J. Sun, Z. Wang, H. Yu, F. Nishino, Y. Katsuyama, and S. Naoi. Effective text extraction and recognition for WWW images. In Proceedings of the ACM symposium on Document engineering, pages 115--117, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. H. Wactlar, M. Christel, Y. Gong, and A. Hauptmann. Lessons learned from building a terabyte digital video library. Computer, pages 66--73, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. H. Wactlar, T. Kanade, and M. S. Smith. Intelligent access to digital video: Informedia project. Computer, pages 46--52, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. A. P. Wilson. Digital video recording: Personalized television. Public Libraries, pages 210--212, July/August 2005.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        JCDL '12: Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
        June 2012
        458 pages
        ISBN:9781450311540
        DOI:10.1145/2232817

        Copyright © 2012 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 June 2012

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