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A Multimedia Database System Using Dependence Weight Values for a Mobile Environment

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3481))

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Abstract

This paper proposes a semantic-based video retrieval system that supports semantic-based retrieval of large-capacity video data in a mobile environment. The proposed system automatically extracts content information from video data and retrieves video data using an indexing agent. The indexing agent analyzes a user’s basic queries while extracting actual keywords from the queries. It then makes the meaning of key frame annotations more concrete through the use of dependence weight values. In addition, the indexing agent compares query images and database key frames through the use of the proposed binary-image histogram technique and retrieves the most similar key frame image that is displayed to the user. In the evaluation of a performance experiment, the proposed semantic-based video retrieval system shows higher retrieval performance than existing techniques in terms of scene retrieval from video data.

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References

  1. Dimitrova, N., Zakhor, A., Huang, T.: Applications of Video-content Analysis and Retrieval. IEEE Multimedia 9(3), 42–55 (2002)

    Article  Google Scholar 

  2. Dimitrova, N., Zakhor, A., Huang, T.: Applications of video-content analysis and retrieval. IEEE Multimedia 9(3), 42–55 (2002)

    Article  Google Scholar 

  3. Ngo, C.W., Pong, T.C., Zhang, H.J.: Clustering and retrieval of video shots through temporal slices analysis. IEEE Trans. on Multimedia 04(04), 446–458 (2002)

    Article  Google Scholar 

  4. Kankanhalli, M.S., Chua, T.S.: Video Modeling using Strata-based Annotation. IEEE Multimedia 7(1), 68–74 (2000)

    Article  Google Scholar 

  5. Flickner, M.: Query by Image and Video Content: The QBIC system. IEEE Computer 28(9), 23–32 (1995)

    Google Scholar 

  6. Smith, J.R., Chang, S.F.: VisualSEEK: A Fully Automated Content-based Image Query System. In: ACM Multimedia Conference, Boston (1996)

    Google Scholar 

  7. Kuo, T., Chen, L.P.: A Content Based Query Language for Video Database. IEEE Multimedia, 209–214 (1996)

    Google Scholar 

  8. Adali, S.: The Advanced Video Information System: Data Structure and Query Processing. ACM Multimedia System 4(4), 172–186 (1996)

    Article  MathSciNet  Google Scholar 

  9. Hjelsvold, R.: VideoSTAR-A Database for Video Information Sharing, Ph.D. Thesis, Norwegian Institute of Technology (1995)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computing, Soongsil University, Seoul, Korea

    Kwang Hyoung Lee

  2. Asan Information Polytechnic College, Chungnam, Korea

    Hee Sook Kim

  3. Dept. of Multimedia Science, Chungwoon Univ., Chungnam, Korea

    Keun Wang Lee

Authors
  1. Kwang Hyoung Lee
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  2. Hee Sook Kim
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  3. Keun Wang Lee
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, P.O. Box, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, P.O. Box, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Lee, K.H., Kim, H.S., Lee, K.W. (2005). A Multimedia Database System Using Dependence Weight Values for a Mobile Environment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424826_85

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  • DOI: https://doi.org/10.1007/11424826_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25861-2

  • Online ISBN: 978-3-540-32044-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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