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Designing Computer Support for Content Analysis: A Situated Use of Video Parsing and Analysis Techniques

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Abstract

This paper presents the use of video parsing and video analysis techniques to attain a radical change in Content Analysis processes. Content Analysis provides frameworks for a better understanding of information, mass media information in particular. The goals of the work presented in this paper are to assess the feasibility of designing Content Analysis processes under much faster and much less manpowered conditions, to prove the power and usefulness of some video parsing and analysis techniques under current inexpensive and widely available software and hardware platforms, and to emphasize that the characteristics of a given situated use of a technological artifact often provide radical simplifications to the system requirements, and make it feasible today.

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References

  1. L. Bardin, L'Analysede Contenu, PUF, 1977.

  2. S. Brand, The Media Lab-Inventing the Future at MIT, Penguin Books, 1988.

  3. N. Correia and N. Guimaraes, “Time and synchronization objects for multimedia application construction,” in Proceedings of the Fourth Eurographics Workshop on Object-Oriented Graphics, Sintra, Portugal, 1994.

  4. G. Cruz and R. Hill, “Capturing and playing multimedia events with STREAMS,” in Proceedings of ACM Multimedia'94, San Francisco, CA USA, 1994, pp. 193–200.

  5. A. Dailianas, R. Allen, and P. England, “Comparison of automatic video segmentation algorithms,” in Integration Issues in Large Commercial Media Delivery Systems, Vol. SPIE 2615, pp. 2–16, 1995.

    Google Scholar 

  6. S. Fischer, R. Lienhart, and W. Effelsberg, “Automatic recognition of film genres,” in Proceedings of the ACM Multimedia'95, San Francisco, CA, USA, 1995, pp. 295–304.

  7. J. Fiske and J. Hartley, Reading Television, Routledge, 1978.

  8. N. Guimarães, P. Trigo, J. Santos, and A. Siemaszko, “MObviews: A multiuser worksheet for a mechanical engineering environment,” in 2nd IEEE Workshop on Enabling Technologies Infrastructure for Collaborative Enterprises (WET ICE), April 1993, Morgantown, WV, USA, IEEE, 1993.

  9. T.M. Levergood, A.C. Pane, J. Getty, G.Winfield, and L.C. Stewart, “Audiofile: A network-transparent system for distributed audio applications, ”Technical report, Digital Equipment Corporation, Maynard, Massachusetts, June 1993.

    Google Scholar 

  10. A. Lie and N. Correia, “Cineloop synchronization in the MADE environment,” in Proceedings of SPIE/IS&T/IEEE Multimedia Computing and Networking'95, San Jose, CA, USA, 1995, Vol. SPIE 2417, pp. 225–232.

    Google Scholar 

  11. M. McLuhan, Understanding Media, MIT Press, 1994.

  12. N. Negroponte, Being Digital, Alfred Knopf: New York, 1995.

    Google Scholar 

  13. K. Otsuji and Y. Tonomura, “Projection detecting filter for video cut detection,” in Proceedings of ACM Multimedia'93Conference, Anaheim, CA, USA, 1993, pp. 251–257.

  14. B. Shahraray and D. Gibbon, “Automated authoring of hypermedia documents,” in Proceedings of the ACM Multimedia'95, San Francisco, CA, USA, 1995, pp. 401–410.

  15. L. Suchman, Plans and Situated Actions: The Problem of Human Machine Communication, Cambridge University Press, 1987.

  16. Sun Microsystems Corp., Using VideoPix, 1991.

  17. Y. Taniguchi, A. Akutsu, Y. Tonomura, and H. Hamada, “An intuitive and efficient access interface to real-time incoming video based on automatic indexing,” in Proceedings of the ACM Multimedia'95, San Francisco, CA, USA, 1995, pp. 25–34.

  18. Y. Tonomura, A. Akutsu, K. Otsuji, and T. Sadakata, “VideoMAP andVideoSpaceIcon: Tools for anatomizing video content,” in Proceedings of INTERCHI'93, Amsterdam, The Nederlands, 1993, pp. 131–136.

  19. R. Weber, Basic Content Analysis, SAGE, 1991.

  20. T. Winograd and F. Flores, Understanding Computers and Cognition, Addison Wesley, 1986.

  21. H. Zhang, G. Yihong, S. Smoliar, and T. Yong, “Automatic parsing of news video,” in Proceedings of the IEEE ICMCS'94 Conference, Boston, MA, USA, 1995.

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Authors
  1. Nuno Guimarães
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  2. Nuno Correia
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  3. Inês Oliveira
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  4. João Martins
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Guimarães, N., Correia, N., Oliveira, I. et al. Designing Computer Support for Content Analysis: A Situated Use of Video Parsing and Analysis Techniques. Multimedia Tools and Applications 7, 159–180 (1998). https://doi.org/10.1023/A:1009630400444

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  • DOI: https://doi.org/10.1023/A:1009630400444

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