Signal, Image and Video Processing

, Volume 4, Issue 3, pp 273–287 | Cite as

Adaptive and personalized multimedia content delivery for disabled users in Internet TV

  • I. Anagnostopoulos
  • C. N. Anagnostopoulos
  • E. Vlachogiannis
  • D. Gavalas
  • G. Tsekouras
Original Paper

Abstract

This paper aims at the delivery of adaptive and personalized multimedia content in interactive Internet Protocol TeleVision (IPTV) environments, using programmable IP services through the MPEG-21 standard, also supporting the features for users with disabilities. Moreover, we propose a system that adapts to users’ preferences using profile separation, not only for individual users but also for user groups as a whole. The system takes advantage of explicit and implicit information through the users’ interaction with the IPTV environment, while the profile reflects groups of similar users, thus dropping the time needed for matching user patterns and profiles when forming a recommendation. The system works in conjunction with a simulation platform acting as an interaction interface between the IPTV architecture and the prospective viewer. Based on this, interactivity in IPTV is faced through metadata and adaptation.

Keywords

Internet Protocol TeleVision (IPTV) User interaction Personalization Adaptation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    ISO MPEG-7, Part 8: Information technology—multimedia content description interface—Part 8: extraction and use of MPEG-7 descriptions, ISO/IEC TR 15938-8 (2002)Google Scholar
  2. 2.
    ISO MPEG-21, part1: Information technology—Multimedia framework (MPEG-21)—Vision, Technologies and Strategy, ISO/IEC TR 21000-1 (2004)Google Scholar
  3. 3.
    Marilly E., Delègue G., Martinot O., Betgé-Brezetz S.: Adaptation and personalisation of interactive mobile TV services. J. Commun. Netw. 6(Part 1), 33–39 (2007)Google Scholar
  4. 4.
    van Barneveld, J., van SettenInvolving, M.: Users in the Design of User Interfaces for TV Recommender Systems. In: Proceedings of the Workshop on Personalization in Future TV, Pittsburgh, PA, pp. 22–26 (2003)Google Scholar
  5. 5.
    Baudisch, P., Brueckner, L.: TV Scout: lowering the entry barrier to personalized TV program recommendations. In: Proceedings of the Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Malaga, Spain, pp. 58–68 (2002)Google Scholar
  6. 6.
    Dix A.J., Finlay J.E., Abowd G.D., Baele R.: Human–Computer Interaction, 2nd edn. Prentice-Hall Europe, London (1998)Google Scholar
  7. 7.
    Herlocker, J.L., Konstan, J., Riedl J.: Explaining collaborative filtering recommendations. In: Proceedings of the Conference on Computer Supported Cooperative Work, Philadelphia, USA, pp. 241–250 (2000)Google Scholar
  8. 8.
    Setten, M., van Veenstra, M., Nijholt, A.: Prediction strategies: combining prediction techniques to optimize personalization. In: Proceedings of the Workshop on Personalization in Future TV, Malaga, Spain, pp. 23–32 (2002)Google Scholar
  9. 9.
    Smyth B., Cotter P.: A personalised TV listings service for the digital TV age. Knowl. Based Syst. 13, 53–59 (2000)CrossRefGoogle Scholar
  10. 10.
    Cotter, P., Smyth, B.: PTV: Intelligent personalised TV guides. In: Proceedings of the 12th Conference on Innovative Applications of Artificial Intelligence, Austin, TX, USA, pp. 957–964 (2000)Google Scholar
  11. 11.
    Ardissono, L., Portis, F., Torasso, P., Bellifemine, R., Chiarotto, A., Difino, A.: Architecture of a system for the generation of personalized electronic program guides. Presented at the Workshop on Personalization in Future TV, Sonthofen, Germany (2001)Google Scholar
  12. 12.
    Difino, A., Negro, B., Chiarotto, A.: A multi-agent system for a personalized electronic program guide. Presented at the Workshop on Personalization in Future TV, Malaga, Spain (2002)Google Scholar
  13. 13.
    Kurapati, K., Gutta, S., Schaffer, D., Martino, J., Zimmerman, J.: A multi-agent TV recommender. Presented at the Workshop on Personalization in Future TV, Sonthofen, Germany (2001)Google Scholar
  14. 14.
    Buczak, A.L., Zimmerman, J., Kurapati, K.: Personalization: improving ease-of-use, trust and accuracy of a TV show recommender. In: Proceedings of the Workshop on Personalization in Future TV, Malaga, Spain, pp. 23–32 (2002)Google Scholar
  15. 15.
    Dimitrova, N., Zimmerman, J., Janevski, A., Agnihotri, L., Haas, A., Bolle, R.: Content augmentation aspects of personalized entertainment experience. In: Proceedings of the Workshop on Personalization in Future TV, Pittsburgh, PA, pp. 22–26 (2003)Google Scholar
  16. 16.
    Das, D., ter Horst, H.: Recommender systems for TV. Presented at the Workshop on Recommender Systems, Madison, WI, Menlo Park, CA (1998)Google Scholar
  17. 17.
    Riede, C., Al-Hezmi, A., Magedanz, T.: Session and media signaling for IPTV via IMS. Presented at the 1st International Conference on MOBILe Wireless MiddleWARE, Operating Systems and Applications, Innsbruck, Austria (2008)Google Scholar
  18. 18.
    Magalhaes J., Pereira F.: Using MPEG standards for multimedia customization. Signal Process. Image Commun. 19, 437–456 (2004)CrossRefGoogle Scholar
  19. 19.
    ISO/IEC 21000-7, Information technology—Multimedia framework (MPEG-21)—Part 7: Digital Item Adaptation, 1st edn (2004)Google Scholar
  20. 20.
    Specht D.F.: Probabilistic Neural Networks. Neural Networks 3(1), 109–118 (1990)CrossRefGoogle Scholar
  21. 21.
    Haykin S.: Neural Networks: A Comprehensive Foundation. Macmillan College Publishing Company, New York (1994)MATHGoogle Scholar
  22. 22.
    Masters T.: Advanced Algorithms for Neural Networks. John, New York (1995)Google Scholar
  23. 23.
    Parzen E.: On estimation of a probability density function and mode. Math. Stat. 33, 1065–1076 (1962)MATHCrossRefMathSciNetGoogle Scholar
  24. 24.
    Zhang D., Adipat B.: Challenges, methodologies and issues in the usability testing of mobile applications. Int. J. Hum. Comput. Interact. 18(3), 293–308 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  • I. Anagnostopoulos
    • 1
  • C. N. Anagnostopoulos
    • 2
  • E. Vlachogiannis
    • 3
  • D. Gavalas
    • 2
  • G. Tsekouras
    • 2
  1. 1.Department of Information and Communication Systems EngineeringUniversity of the AegeanKarlovassiGreece
  2. 2.Department of Cultural Technology and CommunicationUniversity of the AegeanMytileneGreece
  3. 3.Department of Product and Systems Design EngineeringUniversity of the AegeanErmoupolisGreece

Personalised recommendations