Interactive Video Retrieval Using Combination of Semantic Index and Instance Search

  • Hongliang Bai
  • Lezi Wang
  • Yuan Dong
  • Kun Tao
Part of the Lecture Notes in Computer Science book series (LNCS, 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. [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
  2. [2]
    Nistér, D., Stewénius, H.: Scalable Recognition with a Vocabulary Tree. In: CVPR (2006)Google Scholar
  3. [3]
    Rota Bulò, S., Rabbi, M., Pelillo, M.: Content-based image retrieval with relevance feedback using random walks. Pattern Recogn. 44 (September 2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hongliang Bai
    • 1
  • Lezi Wang
    • 2
  • Yuan Dong
    • 1
  • Kun Tao
    • 1
  1. 1.France Telecom Research & DevelopmentBeijingP.R. China
  2. 2.Beijing University of Posts and TelecommunicationsP.R. China

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