Skip to main content
Springer Nature Link
Log in

Video Browser Showdown by NUS

  • Conference paper
Advances in Multimedia Modeling (MMM 2012)

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

Included in the following conference series:

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, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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.

Similar content being viewed by others

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

  1. School of Computing, National University of Singapore, Singapore

    Jin Yuan, Huanbo Luan, Dejun Hou, Han Zhang, Yan-Tao Zheng, Zheng-Jun Zha & Tat-Seng Chua

Authors
  1. Jin Yuan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huanbo Luan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dejun Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Han Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yan-Tao Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Zheng-Jun Zha
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Tat-Seng Chua
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Information Technology, Alpen-Adria-Universität Klagenfurt, Universitätsstr. 65-67, 9020, Klagenfurt, Austria

    Klaus Schoeffmann

  2. EURECOM, 2229 Rout des Crêtes, BP 193, 06904, Sophia Antipolis Cedex, France

    Bernard Merialdo

  3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, 15213-3890, Pittsburgh, PA, USA

    Alexander G. Hauptmann

  4. Department of Computer Science, City University of Hong Kong, Tat Chee Ave, Kowloon, Hong Kong

    Chong-Wah Ngo

  5. Department of Electronic and Electrical Engineering, University College London, Roberts Building, Torrington Place, WC1E 7JE, London, UK

    Yiannis Andreopoulos

  6. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11 188/2, 1040, Vienna, Austria

    Christian Breiteneder

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)

Publish with us

Policies and ethics

Search

Navigation