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Audio-Visual Classification Video Browser

  • Conference paper
MultiMedia Modeling (MMM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8326))

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Abstract

This paper presents our third participation in the Video Browser Showdown. Building on the experience that we gained while participating in this event, we compete in the 2014 showdown with a more advanced browsing system based on incorporating several audio-visual retrieval techniques. This paper provides a short overview of the features and functionality of our new system.

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References

  1. Cortes, C., Vapnik, V.: Support-vector networks. In: Machine Learning, pp. 273–297 (1995)

    Google Scholar 

  2. Efron, B., Hastie, T., Johnstone, I., Tibshirani, R.: Least angle regression. The Annals of statistics 32(2), 407–499 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  3. Fan, R.-E., Chang, K.-W., Hsieh, C.-J., Wang, X.-R., Lin, C.-J.: LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research 9, 1871–1874 (2008)

    MATH  Google Scholar 

  4. Mairal, J., Bach, F., Ponce, J., Sapiro, G.: Online learning for matrix factorization and sparse coding. The Journal of Machine Learning Research 11, 19–60 (2010)

    MATH  MathSciNet  Google Scholar 

  5. Pickering, M.J., Rüger, S.M.: Evaluation of key frame-based retrieval techniques for video. Computer Vision and Image Understanding 92(2-3), 217–235 (2003)

    Article  Google Scholar 

  6. Shrivastava, A., Malisiewicz, T., Gupta, A., Efros, A.A.: Data-driven visual similarity for cross-domain image matching. ACM Transaction of Graphics (TOG) (Proceedings of ACM SIGGRAPH ASIA) 30(6) (2011)

    Google Scholar 

  7. Smeaton, A.F., Over, P., Kraaij, W.: Evaluation campaigns and trecvid. In: MIR 2006: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, pp. 321–330. ACM Press, New York (2006)

    Google Scholar 

  8. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features, pp. 511–518 (2001)

    Google Scholar 

  9. Wu, T.-F., Lin, C.-J., Weng, R.C.: Probability estimates for multi-class classification by pairwise coupling. The Journal of Machine Learning Research 5, 975–1005 (2004)

    MATH  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Dublin City University, Glasnevin, Dublin, 9, Ireland

    David Scott, Zhenxing Zhang, Rami Albatal, Kevin McGuinness, Cathal Gurrin, Noel E. O’Connor & Alan F. Smeaton

  2. Technische Universität Berlin, Ernst-Reuter-Platz 7, 10587, Berlin, Germany

    Esra Acar & Frank Hopfgartner

Authors
  1. David Scott
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  2. Zhenxing Zhang
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  3. Rami Albatal
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  4. Kevin McGuinness
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  5. Esra Acar
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  6. Frank Hopfgartner
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  7. Cathal Gurrin
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  8. Noel E. O’Connor
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  9. Alan F. Smeaton
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Editor information

Editors and Affiliations

  1. School of Computing, Dublin City University, 9, Dublin, Ireland

    Cathal Gurrin

  2. Fakultät IV für Elektrotechnik und Informatik, Technische Universität Berlin / DAI-Labor, 10587, Berlin, Germany

    Frank Hopfgartner

  3. Department of Information and Computing Sciences, Universiteit Utrecht, 3584, Utrecht, CC, The Netherlands

    Wolfgang Hurst

  4. UiT The Arctic University of Norway, 9019, Tromsø, Norway

    Håvard Johansen

  5. Singapore University of Technology and Design, Singapore

    Hyowon Lee

  6. School of Electrical Engineering, Dublin City University, Ireland

    Noel O’Connor

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Scott, D. et al. (2014). Audio-Visual Classification Video Browser. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8326. Springer, Cham. https://doi.org/10.1007/978-3-319-04117-9_45

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  • DOI: https://doi.org/10.1007/978-3-319-04117-9_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04116-2

  • Online ISBN: 978-3-319-04117-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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