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Query by Few Video Examples Using Rough Set Theory and Partially Supervised Learning

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Semantic Multimedia (SAMT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6725))

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Abstract

In this paper, we develop a video retrieval method based on Query-By-Example (QBE) approach, where a user represents a query by providing example shots. QBE then retrieves shots similar to example shots in terms of color, edge, motion, etc. We consider QBE as effective because the query is represented by features in example shots without the ambiguity of semantic contents. In addition, QBE can perform retrieval for any queries as long as the user can provide example shots.

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References

  1. Komorowski, J., Øhrn, A., Skowron, A.: The ROSETTA Rough Set Software System. In: Klösgen, W., Zytkow, J. (eds.) Handbook of Data Mining and Knowledge Discovery, ch. D.2.3. Oxford University Press, Oxford (2002)

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Author information

Authors and Affiliations

  1. Graduate School of Economics, Kobe University, 2-1 Rokkodai, Nada, Kobe, 657-8501, Japan

    Kimiaki Shirahama

  2. Graduate School of Engineering, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657-8501, Japan

    Yuta Matsuoka

  3. Graduate School of System Informatics, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657-8501, Japan

    Kuniaki Uehara

Authors
  1. Kimiaki Shirahama
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  2. Yuta Matsuoka
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  3. Kuniaki Uehara
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Editor information

Editors and Affiliations

  1. DFKI GmbH, Language Technology Lab, Stuhlsatzenhausweg, 3, 66123, Saarbrücken, Germany

    Thierry Declerck

  2. Know-Center Graz, 8010, Graz, Austria

    Michael Granitzer

  3. University of Siegen, Vision and Graphics, Hölderlinstrasse 3, 57076, Siegen, Germany

    Marcin Grzegorzek

  4. DFKI IUI, Saarbrücken, Germany

    Massimo Romanelli

  5. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  6. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany

    Michael Sintek

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© 2011 Springer-Verlag Berlin Heidelberg

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Shirahama, K., Matsuoka, Y., Uehara, K. (2011). Query by Few Video Examples Using Rough Set Theory and Partially Supervised Learning. In: Declerck, T., Granitzer, M., Grzegorzek, M., Romanelli, M., Rüger, S., Sintek, M. (eds) Semantic Multimedia. SAMT 2010. Lecture Notes in Computer Science, vol 6725. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23017-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-23017-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23016-5

  • Online ISBN: 978-3-642-23017-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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