Skip to main content

Video Browser Showdown by NUS

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7131)

Abstract

The known item search task (KIS) aims to retrieve a unique video or video clip in the video corpus. This paper presents a novel interactive video browsing system for KIS task. Our system integrates visual content-based, text-based and concept-based search approaches. It allows users to flexibly choose the search approaches. Moreover, two novel feedback schemes are employed: first, users can specify the temporal order in visual and conceptual inputs; second, users can label related samples with respect to visual, textual and conceptual features. Adopting these two feedback schemes greatly enhances search performance.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-27355-1_64
  • Chapter length: 4 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   89.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-27355-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   119.99
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, X.Y., Yuan, J., et al.: TRECVID 2010 Known-item Search by NUS. In: TRECVID Workshop (2010)

    Google Scholar 

  2. Yuan, J., Zha, Z.-J., et al.: Utilizing Related Samples to Enhance Interactive Concept-based Video Search. IEEE Transactions on Multimedia (2011)

    Google Scholar 

  3. Yuan, J., Zha, Z.-J., et al.: Learning Concept Bundles for Video Search with Complex Queries. In: Proc. of ACM Int. Conf. on Multimedia (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yuan, J. et al. (2012). Video Browser Showdown by NUS. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, CW., Andreopoulos, Y., Breiteneder, C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27355-1_64

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27355-1_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27354-4

  • Online ISBN: 978-3-642-27355-1

  • eBook Packages: Computer ScienceComputer Science (R0)