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Interactive Video Retrieval Using Combination of Semantic Index and Instance Search

  • Conference paper
Advances in Multimedia Modeling

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

Abstract

We present our efficient implementation of interactive video search tool for Known Item Search(KIS) using the combination of Semantic Indexing(SIN) and Instance Search(INS). The interaction way allows users to index a video clip via their knowledge of visual content. Our system offers users a set of concepts and SIN module returns candidate keyframes based on users selection of concepts. Users choose keyframes which contains the interest items, and the INS module recommends frames with similar content to the target clip. Finally, the precise time stamps of the clip are given by the Temporal Refinement(TR).

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References

  1. Tao, K., et al.: The France Telecom Orange Labs (Beijing) Video Semantic Indexing Systems TRECVID 2011 (2011), http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html

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Author information

Authors and Affiliations

  1. France Telecom Research & Development, Beijing, 100190, P.R. China

    Hongliang Bai, Yuan Dong & Kun Tao

  2. Beijing University of Posts and Telecommunications, 100876, P.R. China

    Lezi Wang

Authors
  1. Hongliang Bai
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  2. Lezi Wang
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  3. Yuan Dong
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  4. Kun Tao
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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

Bai, H., Wang, L., Dong, Y., Tao, K. (2013). Interactive Video Retrieval Using Combination of Semantic Index and Instance 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_67

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  • DOI: https://doi.org/10.1007/978-3-642-35728-2_67

  • 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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