Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Towards Multimedia Fragmentation

  • Conference paper

Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 4152))

  • 537Accesses

Abstract

Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. In this paper, we address multimedia database fragmentation by extending existing fragmentation algorithms to take into account key characteristics of multimedia objects. We particularly discuss multimedia primary horizontal fragmentation and provide a partitioning strategy based on low-level multi-media features. Our approach particularly emphasizes the importance of multimedia predicates implications in optimizing multimedia fragments. To validate our approach, we have implemented a prototype computing multimedia predicates implications. Experimental results are satisfactory.

This is a preview of subscription content,log in via an institution to check access.

Access this chapter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Baiao, F., Mattoso, M.: A Mixed Fragmentation Algorithm for Distributed Object Oriented Databases. In: 9th Inter. Conf. on Computing Information, Canada (1998)

    Google Scholar 

  2. Belatreche, L., Karlapalem, K., Simonet, A.: Horizontal class partitioning in object-oriented databases. In: Tjoa, A.M. (ed.) DEXA 1997. LNCS, vol. 1308. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  3. Braunmuller, B., Ester, M., Kreigel, H.P., Sander, J.: Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. In: Proc. of the 16th Inter. Conf. on Data Engineering, p. 256 (2000)

    Google Scholar 

  4. Chalhoub, G., Saad, S., Chbeir, R., Yetongon, K.: A Multimedia Meta-Database Model for Distributed Multimedia DBMS. In: WSEAS (2004)

    Google Scholar 

  5. Chinchwadkar, G.S., Goh, A.: An Overview of Vertical Partitioning in Object Oriented Databases. The Computer Journal 42(1) (1999)

    Google Scholar 

  6. Ezeife, C.I., Barker, K.: A Comprehensive Approach to Horizontal Class Fragmentation in a Distributed Object Based System. Inter. Journal of Distributed and Parallel Databases 1 (1995)

    Google Scholar 

  7. Ezeife, C.I., Barker, K.: Distributed Object Based Design: Vertical Fragmentation of classes. Journal of Distributed and Parallel DB Systems 6(4), 327–360 (1998)

    Google Scholar 

  8. Kosch, H.: Distributed Multimedia Database Technologies Supported by MPEG-7 and MPEG-21, p. 280. Auerbach Publications (2004)

    Google Scholar 

  9. Navathe, S.B., Ceri, S., Wiederhold, G., Dou, J.: Vertical Partitioning Algorithms for Database Design. ACM Transactions on Database Systems 9, 680–710 (1984)

    Article  Google Scholar 

  10. Navathe, B., Ra, M.: Vertical Partitioning for Database Design: a Graphical Algorithm. In: 1989 ACM SIGMOND Conf., Portland, pp. 440–450 (1989)

    Google Scholar 

  11. Navathe, S.B., Karlapalem, K., Ra, M.: A Mixed Partitioning Methodology for Initial Distributed Database Design. Journal of Computer and Software Engineering 3(4), 395–426 (1995)

    Google Scholar 

  12. Ozsu, M.T., Valduriez, P.: Principals of Distributed Database Systems. Prentice Hall, Englewood Cliffs (1991)

    Google Scholar 

  13. Gertz, M., Bremer J.M.: Distributed XML Repositories: To-Down Design and Transparent Query Processing. Department of CS, University of California (2004)

    Google Scholar 

  14. Sub, C.: An approach to the model-based fragmentation and relational storage of XML documents. Grundlagen von Datenbanken, 98–102 (2001)

    Google Scholar 

  15. Sub, C., et al.: Data Modeling and Relational Storage of xml-based Teachware. GI Jahrestatung (1), 378–387 (2001)

    Google Scholar 

  16. Grosky, W.I.: Managing Multimedia Information in Database Systems. Communications of the ACM 40(12), 72–80 (1997)

    Article  Google Scholar 

  17. Synchronized Multimedia Working Group (02-02-2006),http://www.w3.org/tr/rec-smil

  18. SVG Working Group (02-12-2006),www.w3.org/tr/svg

  19. MovingPictureExperts Group (02-27-2005),http://www.chiariglione.org/mpeg/standards/mpeg-7/mpeg-7htm

  20. Braunmuller, B., et al.: Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. IEEE Trans. on Knowledge and Data Engineering 13(1), 79–95 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. LE2I Laboratory UMR-CNRS, University of Bourgogne, 21078 Cedex, Dijon, France

    Samir Saad, Joe Tekli, Richard Chbeir & Kokou Yetongnon

Authors
  1. Samir Saad

    You can also search for this author inPubMed Google Scholar

  2. Joe Tekli

    You can also search for this author inPubMed Google Scholar

  3. Richard Chbeir

    You can also search for this author inPubMed Google Scholar

  4. Kokou Yetongnon

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. Data Engineering Research Lab. Department of Informatics, Aristotle University, 54124, Thessaloniki, Greece

    Yannis Manolopoulos

  2. Faculty of Mathematics and Physics, Charles University, Prague

    Jaroslav Pokorný

  3. Institute for the Management of Information Systems (R.C. “Athena”), Athens, Hellas,  

    Timos K. Sellis

Rights and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Saad, S., Tekli, J., Chbeir, R., Yetongnon, K. (2006). Towards Multimedia Fragmentation. In: Manolopoulos, Y., Pokorný, J., Sellis, T.K. (eds) Advances in Databases and Information Systems. ADBIS 2006. Lecture Notes in Computer Science, vol 4152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11827252_31

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp