Skip to main content

Domain Knowledge Ontology Building for Semantic Video Event Description

  • Conference paper
Image and Video Retrieval (CIVR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3568))

Included in the following conference series:

Abstract

A novel method for video event analysis and description based on the domain knowledge ontology has been put forward in this paper. Semantic concepts in the context of the video event are described in one specific domain enriched with qualitative attributes of the semantic objects, multimedia processing approaches and domain independent factors: low level features (pixel color, motion vectors and spatio-temporal relationship). In this work, we consider one shot (episode) in the Billiard Game of video as the domain to explain how the high-level semantic mapped into low level features and the detection of the semantically important event.

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. Chang, S.-F.: The holy grail of content-based media analysis. IEEE Multimedia 9(2), 6–10 (2002)

    Article  Google Scholar 

  2. Chang, S.-F., Sikora, T., Puri, A.: Overview of the MPEG-7 standard. IEEE Trans. on Circuits and Systems for Video Technology 11(6), 688–695 (2001)

    Article  Google Scholar 

  3. Yoshitaka, A., Ichikawa, T.: A survey on content-based retrieval for multimedia databases. IEEE Transactions on Knowledge and Data Engineering 11(1), 81–93 (1999)

    Article  Google Scholar 

  4. Salembier, P., Marques, F.: Region-Based Representations of Image and Video:Segmentation Tools for Multimedia Services. IEEE Trans. Circuits and Systems for Video Technology 9(8), 1147–1169 (1999)

    Article  Google Scholar 

  5. Chang, S.-F., Sikora, T., Puri, A.: Overview of the MPEG-7 standard. IEEE Trans. Circuits Syst. Video Technol. 11, 688–695 (2001)

    Article  Google Scholar 

  6. Al-Khatib, W., Day, Y.F., Ghafoor, A., Berra, P.B.: Semantic modeling and knowledge representation in multimedia databases. IEEE Trans. Knowledge Data Eng. 11, 64–80 (1999)

    Article  Google Scholar 

  7. Nelson, R., Selinger, A.: Learning 3D recognition models for general objects from unlabeled imagery: An experiment in intelligent brute force. In: Proceedings of ICPR, vol. 1, pp. 1–8 (2000)

    Google Scholar 

  8. Town, C., Sinclair, D.: A self-referential perceptual inference framework for video nterpretation. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds.) ICVS 2003. LNCS, vol. 2626, pp. 54–67. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  9. Fan, J., Yau, D.K.Y., Aref, W.G., Rezgui, A.: Adaptive motioncompensated video coding scheme towards content-based bit rate allocation. J. Electron. Imaging 9(4), 521–533 (2000)

    Article  Google Scholar 

  10. Yeo, B.L., Liu, B.: Rapid scene change detection on compressed video. IEEE Trans. Circuits Syst. Video Technol. 5, 533–544 (1995)

    Article  Google Scholar 

  11. Martin, P., Eklund, P.W.: Knowledge retrieval and the World Wide Web. IEEE Intell. Syst. 15, 18–25 (2000)

    Article  Google Scholar 

  12. Schreiber, A.T., Dubbeldam, B., Wielemaker, J., Wielinga, B.: Ontology-based photo annotation. IEEE Intell. Syst. 16, 66–74 (2001)

    Article  Google Scholar 

  13. Smith, M.K., Welty, C., McGuinness, D.L.: OW Web Ontology Language Guide, W3C Candidate Recommendation (Feburary 10, 2004)

    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

Song, D., Liu, H.T., Cho, M., Kim, H., Kim, P. (2005). Domain Knowledge Ontology Building for Semantic Video Event Description. In: Leow, WK., Lew, M.S., Chua, TS., Ma, WY., Chaisorn, L., Bakker, E.M. (eds) Image and Video Retrieval. CIVR 2005. Lecture Notes in Computer Science, vol 3568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526346_30

Download citation

  • DOI: https://doi.org/10.1007/11526346_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27858-0

  • Online ISBN: 978-3-540-31678-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics