Content Adaptation Tools in the CAIN Framework

  • Víctor Valdés
  • José M. Martínez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3893)


This paper presents the Content Adaptation Tools currently integrated in the CAIN framework, a content adaptation manager targeted to the integration of different metadata-driven content adaptation approaches. The CAIN system is in charge of managing the available content adaptation tools in order to perform the most appropiate adaptation modality taking account of the available content metadata. Current system architecture and adaptation process are presented detailing the decision process about adaptation parameters and adaptation tool selection taken in order to perform content adapatation. The different Content Adaptation Tools types are presented together with details of the currently integrated adaptation tools.


User Preference Decision Module Content Adaptation Scalable Video Description Tool 
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.
    Vetro, A., Christopoulos, C., Ebrahimi, T. (eds.): Universal Multimedia Access (special issue). IEEE Signal Processing Magazine 20(2) (2003)Google Scholar
  2. 2.
    Pereira, F., Burnett, I.: Universal Multimedia Experiences for Tomorrow. IEEE Signal Processing Magazine 20(2), 63–73 (2003)CrossRefGoogle Scholar
  3. 3.
    Martínez, J.M., Valdés, V., Bescós, J., Herranz, L.: Introducing CAIN: a Metadata-driven Content Adaptation Manager Integrating Hetereogeneous Content Adaptation Tools. In: Proceedings of the WIAMIS 2005 (2005)Google Scholar
  4. 4.
    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)CrossRefGoogle Scholar
  5. 5.
    Komptasaris, I., Avrithis, Y., Hobson, P., Strintzis, M.G.: Integrating Knowledge, Semantics and Content for User-centred Intelligent Media Services: the aceMedia Project. In: Proc. of WIAMIS 2004 (2004)Google Scholar
  6. 6.
  7. 7.
    Sprljan N., Mrak M., Abhayarathe G.C.K., Izquierdo E.: A Scalable Coding Framework for efficient Video Adaptation. In: Proc. of WIAMIS 2005 (2005)Google Scholar
  8. 8.
    Bescós, J., Herranz, L.: Reliability Based Optical Flow Estimation from MPEG Compressed Data. In: Proc. of VLBV 2005 (2005)Google Scholar
  9. 9.
    Padilla, M., Martínez, J.M., Herranz, L.: Video Summaries Generation and Access via Personalized Delivery of Multimedia Presentations Adapted to Service and Terminal. International Journal of Intelligent Systems (2006) (in press)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Víctor Valdés
    • 1
  • José M. Martínez
    • 1
  1. 1.Grupo de Tratamiento de ImágenesEscuela Politécnica Superior, Universidad Autónoma de MadridMadridSpain

Personalised recommendations