Εργαστήριο Γνώσης και Αβεβαιότητας

Knowledge and Uncertainty Research Laboratory

Representation of user preferences and adaptation to context in multimedia content-based retrieval

[conference]


Full reference

M. Wallace, G. Akrivas, G. Stamou, S. Kollias,, Representation of user preferences and adaptation to context in multimedia content-based retrieval, Proceedings of the Workshop on Multimedia Semantics, SOFSEM 2002: Theory and Practice of Informatics, Milovy, Czech Republic, November 22-29, 2002


Abstract

The task of content -- based retrieval is to provide users with the multimedia documents that best match their wishes. This process is not free of uncertainty; the role of the user profile is to remove a part of this uncertainty, using the information it contains concerning the user's preferences, and thus improve the precision. For this aim MPEG-7 introduced description schemes representing users' preferences and tools supporting user interaction. In this paper, using a formal representation of user preferences and a semantic knowledge base, we expand the user profile representation introduced in MPEG-7 in order to acquire more semantic information about the user. Furthermore, using the notion of context, we identify the part of the profile that is related to the user's query, thus preventing irrelevant interests from affecting the process of content-based retrieval.


5 known citations

  1. Ph. Mylonas, K. Karpouzis, G. Andreou and S. Kollias, Towards an integrated personalized interactive video environment, Proceedings of the 6th IEEE International Symposium on Multimedia Software Engineering (ISMSE'04), Miami, Florida, USA, December 2004
  2. P. Tzouveli, Ph. Mylonas and S. Kollias, SPERO - A personalized integrated e-learning system, Proceedings of the International Association for Development of the Information Society (IADIS) WWW/Internet 2004 International Conference, Madrid, Spain, October 2004
  3. Th. Athanasiadis, Y. Avrithis, Adding Semantics to Audiovisual Content: The FAETHON Project, Proc. of International Conference for Image and Video Retrieval, Dublin, Ireland, July 21-23, 2004
  4. U. Markowska-Kaczmar, H. Kwasnicka and M. Paradowski, Intelligent Techniques in Personalization of Learning in e-Learning Systems, in F. Xhafa, S. Caballe, A. Abraham, Th. Daradoumis and A.A. Juan Perez (eds) Computational Intelligence for Technology Enhanced Learning, pp. 1-23, Springer, 2010.
  5. I.T. Christou, G. Gekas and A. Kyrikou, A Classifier Ensemble Approach to the TV-Viewer Profile Adaptation Problem, International Journal of Machine Learning and Cybernetics, vol 3(4), pp. 313-326, 2012,