Skip to main content

TRECVID: Benchmarking the Effectiveness of Information Retrieval Tasks on Digital Video

  • Conference paper
  • First Online:
Image and Video Retrieval (CIVR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2728))

Included in the following conference series:

Abstract

Many research groups worldwide are now investigating techniques which can support information retrieval on archives of digital video and as groups move on to implement these techniques they inevitably try to evaluate the performance of their techniques in practical situations. The difficulty with doing this is that there is no test collection or any environment in which the effectiveness of video IR or video IR sub-tasks, can be evaluated and compared. The annual series of TREC exercises has, for over a decade, been benchmarking the effectiveness of systems in carrying out various information retrieval tasks on text and audio and has contributed to a huge improvement in many of these. Two years ago, a track was introduced which covers shot boundary detection, feature extraction and searching through archives of digital video. In this paper we present a summary of the activities in the TREC Video track in 2002 where 17 teams from across the world took part.

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. The Internet Archive Movie Archive. http://www.archive.org/movies

    Google Scholar 

  2. Boreczky, J.S., and Rowe, L.A. (1996) Comparison of video shot boundary detection techniques. In I.K. Sethe and R.C. Jain (Eds.) Storage and Retrieval for Still Image and Video databases IV, Proc. SPIE 2670, pp.170–179., San Jose, Calif. USA.

    Google Scholar 

  3. Ford, R.M. (1999). A quantitative Comparison of Shot Boundary Detection Metrics. In: M.M. Yueng, B.-L. Yeo and C.A. Bouman (Eds.).) Storage and Retrieval for Still Image and Video databases IV, Proc. SPIE 3656, pp.666–676, San Jose, Calif. USA.

    Google Scholar 

  4. The TREC 2002 Proceedings: http://trec.nist.gov/pubs/trec11/t11_proceedings.html.

    Google Scholar 

  5. Müller, W., Marchand-Maillet, S., Müller, H. and Pun, T. Towards a fair benchmark for image browsers, In SPIE Photonics East, Voice, Video, and Data Communications, Boston, MA, USA, November 5–8 2000.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Smeaton, A.F., Over, P. (2003). TRECVID: Benchmarking the Effectiveness of Information Retrieval Tasks on Digital Video. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds) Image and Video Retrieval. CIVR 2003. Lecture Notes in Computer Science, vol 2728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45113-7_3

Download citation

  • DOI: https://doi.org/10.1007/3-540-45113-7_3

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40634-1

  • Online ISBN: 978-3-540-45113-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics