Skip to main content

News Video Retrieval Using Automatic Indexing of Korean Closed-Caption

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

  • 1058 Accesses

Abstract

Knowledge-based video retrieval is able to provide the retrieval result that corresponds with conceptual demand of user because of performing automatic indexing with audio-visual data, closed-caption, and so on. In this paper, we present the automatic indexing method of Korean closed-caption for knowledge-based video retrieval and the retrieval scheme using the indexed database. In the experiment, we have applied the proposed method to news video with the closed-caption generated by Korean stenographic system, and have empirically confirmed that the proposed method could provide the retrieval result that corresponds with more meaningful conceptual demand of user.

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. Vittorio, C., Lawrence, D.B.: Image Databases, pp. 261–279. Jon Wiley & Sons, Inc., Chichester (2002)

    Google Scholar 

  2. Howard, D.W., Takeo, K., Michael, A.S., Scott, M.S.: Intelligent Access to Digital Video: Informedia Project. IEEE Computer (Digital Library Initiative special) 29(5), 46–52 (1996)

    Google Scholar 

  3. Alexander, G.H., Michael, J.W.: Informedia: News-on-Demand Multimedia Information Acquisition and Retrieval. In: Intelligent Multimedia Information Retrieval, pp. 215–240. AAAI Press/The MIT Press (1997)

    Google Scholar 

  4. Inderjeet, M., David, H., Mark, T.M., Morgan, G.: Towards Content-Based Browsing of Broadcast News Video. In: Intelligent Multimedia Information Retrieval, pp. 241–258. AAAI Press/The MIT Press (1997)

    Google Scholar 

  5. Cho, J.: An Automatic Indexing System for Intelligent Information Retrieval. Master’s thesis. Hanyang University, 26–28 (1998)

    Google Scholar 

  6. William, B.F., Ricardo, B.-Y.: Information Retrieval: Data Structure and Algorithms. Prentice-Hall, Englewood Cliffs (1992)

    Google Scholar 

  7. Salton, G.: Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison Wesley Publishing, Reading (1989)

    Google Scholar 

  8. MPEG-7 Visual Experimentation Model (XM), Ver. 10.0. ISO/IEC/JTC1/SC29 /WG11, Doc. N4062 (2001)

    Google Scholar 

  9. Wei, Q., Lie, G., Hao, J., Xiang-Rong, C., Hong-Jiang, Z.: Integrating visual, audio and text analysis for news video. In: Proc. of Int. Conf. on Image Processing, vol. 3, pp. 520–523 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cho, J., Jeong, S., Choi, B. (2005). News Video Retrieval Using Automatic Indexing of Korean Closed-Caption. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_99

Download citation

  • DOI: https://doi.org/10.1007/11553939_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics