Database Management Systems and Conetent-Based Retrieval

  • Milan Petković
  • Willem Jonker
Part of the The Springer International Series in Engineering and Computer Science book series (MMSA, volume 25)


Database management systems have been extensively used for more than 30 years as a standard tool for manipulating large amounts of alphanumeric data. They allow efficient and fast access to stored data taking the advantage of the fact that data is structured. With the emergence of the Web, large volumes of unstructured data have become available. As database management systems were not capable of storing and searching that data efficiently, information retrieval systems took over, providing search methods for unstructured textual documents. However, with further emergence of the Web and multimedia the importance of systems that can manage and search audio-visual data has arisen.


Video Data Query Language Database Management System Information Retrieval System Video Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Elmasri, S. B. Navathe, Fundamentals of Database Systems, Addison-Wesley, third edition, 2000.Google Scholar
  2. [2]
    T. Tsichritzis, A. Klug, “The ANSI/X3/SPARC DBMS framework report of the study group on database management systems, Information System, No. 3, 1978, pp. 173–191.CrossRefGoogle Scholar
  3. [3]
    E.F. Codd, “A relational model of data for large shared data banks”, Communications of the ACM, 13 (6), 1970, pp. 377–387.zbMATHCrossRefGoogle Scholar
  4. [4]
    C. J. Date, An Introduction to Database Systems, Addison-Wesley, third edition, 1985.Google Scholar
  5. [5]
    R. Cattell, ed., The Object Database Standard: ODMG, Release 2.0, Morgan Kaufmann, 1997.Google Scholar
  6. [6]
    E. Bertino, L. Martino, Object Oriented Database Systems, Concepts and Architecture, Addison-Wesley, 1993.Google Scholar
  7. [7]
    P. Boncz, A.N. Wilschut, M.L. Kersten, “Flattering an object algebra to provide performance”, IEEE International Conference on Data Engineering, Orlando, 1998, pp. 568–577.Google Scholar
  8. [8]
    A.P. de Vries, Content and Multimedia Database Management Systems, PhD Thesis, Centre for Telematics and Information Technology, Enschede, the Netherlands, 1999.Google Scholar
  9. [9]
    P. Boncz, M.L. Kersten, Monet: “An Impressionist Sketch of an Advanced Database System”, Basque International Workshop on Information Technology, San Sebastian, 1995.Google Scholar
  10. [10]
    A. N. Wilschut, R. van Zwol, J. Flokstra, “Road collapse in Magnum”, In Proceedings of the sixth International Symposium on Advances in Geographic Information Systems (ACMGIS’98), 1998.Google Scholar
  11. [11]
    G. Salton, C. Yang, A. Wong, “A vector-space model for automatic indexing”, Communications of ACM, 18 (11), 1975, pp. 613–620.zbMATHCrossRefGoogle Scholar
  12. [12]
    R. Baeza-Yates, B. Ribeiro-Neto, Modern Information Retrieval, ACM Press, 1999.Google Scholar
  13. [13]
    D. A. Grossman, O. Frieder, Information Retrieval: Algorithms and Heuristics, Kluwer International Series in Engineering and Computer Science, Kluwer Academic Publishers, 1998.Google Scholar
  14. [14]
    C. J. van Rijsbergen, Information Retrieval, second edition, Butter-worths, 1979.Google Scholar
  15. [15]
    A. del Bimbo, Visual Information Retrieval,Morgan Kaufmann, 1999.Google Scholar
  16. [16]
    A. Hampapur, R. Jain, “Video Data Management Systems: Metada and Architecture” in Multimedia Data Management, A. Sheth, W. Klas (ed.), McGraw-Hill, 1998.Google Scholar
  17. [17]
    C. Boehm, S. Berchtold, D.A. Keim, “Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases”, ACM Computing Surveys, 33 (3), 2001.Google Scholar
  18. [18]
    T. G. Aguierre Smith, G. Davenport, “The Stratification System: A Design Environment for Random Access Video”, Proc. 3 rd Inter. Workshop on Network and operating system Support for Digital Audio and Video, La Jolla, CA, 1992.Google Scholar
  19. [19]
    R. Weiss, A. Duda, D. K. Gifford, “Content-based Access to Algebraic Video”, Proc. of Int. Conf. on Multimedia Computing and Systems, IEEE Press, 1994. pp. 140–151.Google Scholar
  20. [20]
    E. Oomoto, K. Tanaka, “OVID: Design and Implementation of a Video-Object Database System”, IEEE Transaction on Knowledge and data Engineering, Vol. 5, No. 4, Avgust, 1993, pp. 629–643.Google Scholar
  21. [21]
    W. Y. Ma and B. S. Manjunath, “NETRA: A Toolbox for navigating large image databases”, In the Proceedings of the IEEE Intl. Conf. Image Processing (ICIP’97), Santa Barbara, October 1997.Google Scholar
  22. [22]
    G. Ahanger, D. Benson, T.D.C. Little, “Video Query Formulation”, Storage and retrieval for Images and Video Databases II, San Jose, 1995.Google Scholar
  23. [23]
    Q. Li, Y, Yang, W-K. Chung, “CAROL: Towards a Declarative Video Data Retrieval Language”, Proc. of SPIE, Vol. 3561, 1998, pp. 69–78.CrossRefGoogle Scholar
  24. [24]
    H. Jiang, A. Elmagarmid, “WVTDB — a semantic content-based videotext database system on the world wide web”, IEEE Transactions Knowledge and Data Engineering, 10 (6) 1998, pp. 947–966.CrossRefGoogle Scholar
  25. [25]
    M. Davis, “Knowledge Representation for Video”, Proc. of 12` h National Conference on Artificial Intelligence, Vol. 1, Seattle, Washington, 1994, pp. 120–127.Google Scholar
  26. [26]
    E. Hwang, V.S. Subrahmanian, “Querying Video Libraries”, J. of Visual Communications and Image Representation, Vol. 7, No. 1, March 1996.Google Scholar
  27. [27]
    J. Z. Li, Modeling and Querying Multimedia Data, Technical Report TR 98–05, Laboratory for Database System Research, University of Alberta, Canada, March 1998.Google Scholar
  28. [28]
    H. hang, A. Elmagarmid, “Spatial and temporal content-based access to hypervideo databases” VLDB Journal, 1998, No. 7, pp. 226–238.CrossRefGoogle Scholar
  29. [29]
    F. Golshani, N. Dimitrova, “A Language for Content-Based Video Retrieval”, Multimedia Tools and Applications, 6 (3), 1998, pp. 289–312.CrossRefGoogle Scholar
  30. [30]
    A. Hampapur, A. Gupta, B. Horowitz, C-F. Shu, C. Fuller, J. Bach, M. Gorkani, R. Jain, “Virage Video Engine”, SPIE Vol. 3022, 1997.Google Scholar
  31. [31]
    E. Ardizzone, M. La Cascia, D. Molinelli, “Motion and Color Based Video Indexing and Retrieval”, Intl. Conf. on Pattern Recognition, ICPR, Wien, Austria, Aug. 1996.Google Scholar
  32. [32]
    S-F. Chang, W. Chen, H. Meng, H. Sundaram, D. Zhong, “A Fully Automated Content Based Video Search Engine Supporting Spatio-Temporal Queries”, IEEE Transaction on Circuits and Systems for Video Technology, Vol. 8, No. 5, Sept., 1998.Google Scholar
  33. [33]
    T. C.T. Kuo, A. L.P. Chen, “A Content-Based Query Language for Video Databases”, Proc. of IEEE Multimedia Computing Systems, 1996.Google Scholar
  34. [34]
    G. Amato, G. Mainetto, P. Savino, “An Approach to a Content-Based Retrieval of Multimedia Data” Multimedia Tools and applications, Vol. 7, No. 1 /2, 1998, pp. 5–36.Google Scholar
  35. [35]
    J.M. Martinez, MPEG-7 Overview, ISO/IEC JTC1/SC29/WG11, Klangenfurt, July 2002, Scholar
  36. [36]
    D. C. Fallside (Ed.), XML Schema part 0: Primer, May 2001. Scholar

Copyright information

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Milan Petković
    • 1
  • Willem Jonker
    • 2
  1. 1.University of TwenteThe Netherlands
  2. 2.University of Twente and Philips ResearchThe Netherlands

Personalised recommendations