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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2004: Knowledge-Based Intelligent Information and Engineering Systems pp 975–981Cite as

Content-Based Video Retrieval Using Moving Objects’ Trajectories

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

Abstract

In this paper, we present a content-based video retrieval using moving objects’ trajectories. For this, we first present a spatio-temporal representation scheme for modeling moving objects. Secondly, we describe an efficient similar sub-trajectory retrieval scheme based on a new k-warping distance algorithm. To show the efficiency of our similar sub-trajectory retrieval scheme, we perform the performance comparison of our scheme with the existing sub-trajectory retrieval schemes.

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References

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Author information

Authors and Affiliations

  1. School of Computer Information Engineering, Catholic University of Pusan, Busan, 609-757, South Korea

    Choon-Bo Shim

  2. Dept. of Computer Engineering, Research Center for Advanced LBS Technology, Chonbuk National University, Jeonju, Jeonbuk, 561-756, South Korea

    Jae-Woo Chang

Authors
  1. Choon-Bo Shim
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  2. Jae-Woo Chang
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Shim, CB., Chang, JW. (2004). Content-Based Video Retrieval Using Moving Objects’ Trajectories. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_129

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_129

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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