Skip to main content

Multimedia Content Adaptation Within the CAIN Framework Via Constraints Satisfaction and Optimization

  • Conference paper
Adaptive Multimedia Retrieval: User, Context, and Feedback (AMR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4398))

Included in the following conference series:

Abstract

This paper presents a constraints programming based approach to decide which of a set of available content adaptation tools and parameters should be selected in order to perform the best adaptation of a media asset targeting to enhance the final user’s experience in a particular usage scenario. The work is within the scope of the Universal Multimedia Access (UMA) framework and makes use of MPEG standards for content and usage environment description. The proposed technique has been evaluated within the CAIN framework, a content adaptation engine that integrates different content adaptation tools, and that uses media and usage environment metadata to identify the best adaptation tool from the available ones. First, mandatory constraints are imposed. If there is more than one adaptation tool capable of adapting the content fulfilling every mandatory constraint, another group of desirable constraints are applied to reduce the solution space. If at this step there are still several adaptation tools or parameter values able to adapt the content fulfilling mandatory and desirable restrictions, a final optimization step chooses the best adaptation tool and parameters.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Vetro, A.: MPEG-21 digital item adaptation: enabling universal multimedia access. IEEE Multimedia 11(1), 84–87 (2004)

    Article  MathSciNet  Google Scholar 

  2. Pereida, F., Burnett, I.: Universal Multimedia Experiences for Tomorrow. IEEE Signal Processing Magazine 20(2), 63–73 (2003)

    Article  Google Scholar 

  3. Jannach, D., et al.: A knowledge-based framework for multimedia adaptation. Applied Intelligence 24(2), 109–125 (2006)

    Article  Google Scholar 

  4. Wang, Y., Kim, J.G., Chang, S.F.: Content-based utility function prediction for real-time MPEG-4 video transcoding. In: Proc. of ICIP, pp. 189–192 (2003)

    Google Scholar 

  5. Magalhaes, J., Pereira, F.: Using MPEG standards for multimedia customization. Signal Processing: Image Communications 19, 437–456 (2004)

    Article  Google Scholar 

  6. Tseng, B.L., Lin, C.Y., Smith, J.R.: Using MPEG-7 and MPEG-21 for Personalizing Video. IEEE Multimedia 11(1), 42–53 (2004)

    Article  Google Scholar 

  7. ISO/IEC 15938-5, Information Technology – Multimedia Content Description Interface – Part 5: Multimedia Description Schemes

    Google Scholar 

  8. Marriott, K.: Programming with constraints an introduction. MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  9. Martínez, J.M., et al.: Introducing CAIN: A Metadata-Driven content Adaptation Manager Integrating Heterogeneous Content Adaptation tools. In: Proceedings of the WIAMIS’2005, Montreux (April 2005)

    Google Scholar 

  10. van Beek, P., et al.: Metadata-driven multimedia access. IEEE Signal Processing Magazine 20(2), 40–52 (2003)

    Article  Google Scholar 

  11. Vetro, A.: Transcoding, Scalable Coding and Standardized Metadata. In: García, N., Salgado, L., Martínez, J.M. (eds.) VLBV 2003. LNCS, vol. 2849, pp. 15–16. Springer, Heidelberg (2003)

    Google Scholar 

  12. Smith, J.R.: Semantic Universal Multimedia Access. In: García, N., Salgado, L., Martínez, J.M. (eds.) VLBV 2003. LNCS, vol. 2849, pp. 13–14. Springer, Heidelberg (2003)

    Google Scholar 

  13. ISO/IEC 21000-7, Information Technology – Multimedia Frameworks – Part 7: Digital Item Adaptation

    Google Scholar 

  14. Váldes, V., Martínez, J.M.: Content Adaptation Tools in the CAIN Framework. In: Atzori, L., et al. (eds.) VLBV 2005. LNCS, vol. 3893, pp. 9–15. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  15. Valdés, V., Martínez, J.M.: Content Adaptation Capabilities Description Tool for Supporting Extensibility in the CAIN Framework. In: Gunsel, B., et al. (eds.) MRCS 2006. LNCS, vol. 4105, pp. 395–402. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  16. Sprljan, N., et al.: A scalable coding framework for efficient video adaptation. In: Proceedings of the WIAMIS’2005 (April 2005)

    Google Scholar 

  17. Martínez, J.M., et al.: A Simple Profile for MPEG-21 Usage Environment description tools. Doc. ISO/MPEG M11239, MPEG Palma de Mallorca Meeting (October 2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Stéphane Marchand-Maillet Eric Bruno Andreas Nürnberger Marcin Detyniecki

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

López, F., Martínez, J.M., Valdés, V. (2007). Multimedia Content Adaptation Within the CAIN Framework Via Constraints Satisfaction and Optimization. In: Marchand-Maillet, S., Bruno, E., Nürnberger, A., Detyniecki, M. (eds) Adaptive Multimedia Retrieval: User, Context, and Feedback. AMR 2006. Lecture Notes in Computer Science, vol 4398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71545-0_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-71545-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71544-3

  • Online ISBN: 978-3-540-71545-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics