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Advances in Multimedia Modeling pp 547–549Cite as

NII-UIT-VBS: A Video Browsing Tool for Known Item Search

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7733))

Abstract

This paper introduces a video browsing tool for the known item search task. The key idea is to reduce the number of segments to further investigate by several ways such as applying visual filters and skimming representative keyframes. The user interface is optimally designed so as to reduce unnecessary navigations. Furthermore, a coarse-to-fine based approach is employed to quickly find the target clip.

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References

  1. Le, D.-D., Satoh, S.: A Comprehensive Study of Feature Representations for Semantic Concept Detection. In: Proc. ICSC, pp. 235–238 (September 2011)

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Author information

Authors and Affiliations

  1. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, Japan

    Duy-Dinh Le & Shin’ichi Satoh

  2. The Graduate University for Advanced Studies, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, Japan

    Thanh Duc Ngo

  3. The University of Information Technology, KM 20, Xa Lo Ha Noi, Thu Duc Dist, HCM City, Vietnam

    Vu Hoang Nguyen & Duc Anh Duong

  4. University of Science, 227 Nguyen Van Cu, Dist. 5, HCM City, Vietnam

    Vu Lam & Vinh Quang Tran

Authors
  1. Duy-Dinh Le
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  2. Vu Lam
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  3. Thanh Duc Ngo
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  4. Vinh Quang Tran
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  5. Vu Hoang Nguyen
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  6. Duc Anh Duong
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  7. Shin’ichi Satoh
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Editor information

Editors and Affiliations

  1. Microsoft Research Asia, 5 Danling Street, 100080, Beijing, China

    Shipeng Li  & Tao Mei  & 

  2. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, K1N 6N5, Ottawa, ON, Canada

    Abdulmotaleb El Saddik

  3. School of Computer and Information, Hefei University of Technology, Road Tunxi 193#, 230009, Hefei, Anhui, China

    Meng Wang  & Richang Hong  & 

  4. Department of Information Engineering and Computer Science, University of Trento, ommarive 14, 38100, Trento, Italy

    Nicu Sebe

  5. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117583, Singapore, Singapore

    Shuicheng Yan

  6. School of Computing, CLARITY: Centre for Sensor Web Technologies, Dublin City University, Glasnevin, 9, Dublin, Ireland

    Cathal Gurrin

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Le, DD. et al. (2013). NII-UIT-VBS: A Video Browsing Tool for Known Item Search. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_65

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  • DOI: https://doi.org/10.1007/978-3-642-35728-2_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35727-5

  • Online ISBN: 978-3-642-35728-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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