Skip to main content

EDU: A Model of Video Summarization

  • Conference paper
Image and Video Retrieval (CIVR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3115))

Included in the following conference series:

  • 998 Accesses

Abstract

A novel and expandable video summarization model called EDU is proposed. The model starts from video entities, gets utilities after descriptions, and finally generates video summarization according to the utilities. As a general expandable model, EDU has a description scheme to save the preprocessed information, and a utility function based on the descriptions. The concepts and structures of EDU model are described in detail, and a method of news story summarization based on this model is also proposed. The experiment proves the effectiveness of the method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. li, Y., Zhang, T., Tretter, D.: An overview of video abstraction techniques, Image systems laboratory, HP Laboratory Palo Alto, HPL-2001-191, July 31st (2001)

    Google Scholar 

  2. Christel, M.G., Smith, M.A., Taylor, C.R., Winkler, D.B.: Evolving video skims into useful multimedia abstractions. In: Proc. of Conference on Human Factors in Computing Systems (CHI 1998), April 1998, pp. 171–178 (1998)

    Google Scholar 

  3. Sundaram, H., Xie, L., Chang, S.-F.: A utility framework for the automatic generation of audio-visual skims. In: ACM Multimedia 2002, Juan-les-pins, France, December 1-6 (2002)

    Google Scholar 

  4. Lienhart, R.: Dynamic video summarization of home video. In: Proc. of IS&T/SPIE, January 2000, vol. 3972, pp. 378–389 (2000)

    Google Scholar 

  5. Lienhart, R., Pfeiffer, S., Effelsberg, W.: Video abstracting. Communications of the ACM, 55–62 (December 1997)

    Google Scholar 

  6. Ma, Y.-F., Lu, L., Zhang, H.-j., Li, M.: A User Attention Model for Video Summarization. In: Proc. of ACM Multimedia 2002, Juan-les-Pins, France (December 2002)

    Google Scholar 

  7. Uchihashi, S., Foote, J., Girgensohn, A., Boreczky, J.: Video manga: generating semantically meaningful video summaries. In: ACM Multimedia 1999 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xie, YX., Luan, XD., Lao, SY., Wu, LD., Xiao, P., Wen, J. (2004). EDU: A Model of Video Summarization. In: Enser, P., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds) Image and Video Retrieval. CIVR 2004. Lecture Notes in Computer Science, vol 3115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27814-6_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-27814-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22539-3

  • Online ISBN: 978-3-540-27814-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics