Skip to main content

Network-Diffused Media Scaling for Multimedia Content Services

  • Conference paper
  • 254 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1718))

Abstract

In this paper we propose a new approach to adaptation of content-based processing, media preparation and presentation. We address multimedia consumption terminals having a variable amount of resources. The proposed technique adapts the required service data contained within the multimedia to the abilities of the hybrid network elements and application requirements. In our approach the data representations are transformed and converted efficiently to reduce delivery requirements and to emphasize quality of service ratio. An experimental system is implemented in a distributed environment providing only low processing requirements from the data processing nodes. We perform media profiling based on cross-media translation to achieve an efficient scaling and fit the content with terminal capabilities. Our approach aims to build an intelligent content service infrastructure in a way that the servers, nodes, and terminals are aware of their capabilities along with the capabilities of their surroundings. We demonstrate with an example service with scalable multimedia delivery over hybrid network elements.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

7 References

  1. International Telecommunications Union (1998) H.323 standards specification, version 2.0.

    Google Scholar 

  2. M. Palola, R. Kaksonen, M. Heikkinen, S. Kaukonen, T. Ojala, T. Tervo & J. Sauvola (1998) CTI State-of-the-art. A technical report, CTI project, 64 pages.

    Google Scholar 

  3. Armando Fox, Steven D. Gribble, Eric A. Brewer, and Elan Amir. Adapting to network and client variability via on-demand dynamic distillation. In Proc. Seventh Intl. Conf. on Arch. Support for Prog. Lang. and Oper. Sys. (ASPLOS-VII), 1997.

    Google Scholar 

  4. Armando Fox, Steven D. Gribble, Yatin Chawathe, and Eric A. Brewer. Cluster-based scalable network services. In Proc. 1997 Symposium on Operating Systems Principles (SOSP-16), St-Malo, France, 1997.

    Google Scholar 

  5. R. Gallager. Variations on a theme by Huffman. IEEE Transactions on Information Theory, 24:668–674, 1978.

    Article  MATH  Google Scholar 

  6. A. Gersho and R. Gray. Vector Quantization and Signal Compression. Kluwer Academic Publishers, Boston, 1992.

    MATH  Google Scholar 

  7. A. Jain. Fundamentals of Digital Image Processing. Prentice-Hall, 1989.

    Google Scholar 

  8. O. Kia. Document Image Compression and Analysis. PhD Thesis, University of Maryland at College Park, 1997.

    Google Scholar 

  9. D. Knuth. Optimal binary search trees. Acta Informatica, 1:14–25, 1971.

    Article  MATH  Google Scholar 

  10. J. Li and C.C.J. Kuo. Progressive Coding of 3-D Graphic Models. IEEE Proceedings, 86(6), pp 1052–1063, 1998.

    Article  Google Scholar 

  11. S. McCanne. Scalable Compression and Transmission of Internet Multicast Video. PhD Thesis, University of California, Berkeley, 1996.

    Google Scholar 

  12. J. Sauvola. Document Analysis Techniques and System Components with Applications in Image Retrieval. PhD Thesis, University of Oulu, Finland, 1997.

    Google Scholar 

  13. K. Sayood. Introduction to data compression, Morgan Kaufman Publishers, 1996.

    Google Scholar 

  14. J. Vitter. Design and analysis of dynamic Huffman codes. Journal of the Association for Computing Machinary, 34:825–845, 1987.

    MATH  Google Scholar 

  15. J. Ziv and A. Lempel. A universal algorithm for sequential data compression. IEEE Transactions on Information Theory, 23:337–343, 1977.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kia, O.E., Sauvola, J.J., Doermann, D.S. (1999). Network-Diffused Media Scaling for Multimedia Content Services. In: Diaz, M., Owezarski, P., Sénac, P. (eds) Interactive Distributed Multimedia Systems and Telecommunication Services. IDMS 1999. Lecture Notes in Computer Science, vol 1718. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48109-5_13

Download citation

  • DOI: https://doi.org/10.1007/3-540-48109-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66595-3

  • Online ISBN: 978-3-540-48109-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics