Skip to main content
SpringerLink
Log in

Subjective Interpretation of Complex Data: Requirements for Supporting Kansei Mining Process

  • Conference paper
Mining Multimedia and Complex Data (PAKDD 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2797))

Included in the following conference series:

Abstract

Today’s technology makes it possible to easily access huge amounts of complex data. As a consequence, techniques are needed for accessing the semantics of such data and supporting the user in selecting relevant information. While meta-languages such as XML have been proposed, they are not suitable for complex data such as images, video, sounds or any other non-verbal channel of communication, because those data have very subjective semantics, i.e., whose interpretation varies over time and between subjects. Yet, providing access to subjective semantics is becoming critical with the significant increase in interactive systems such as web-based systems or socially interactive robots. In this work, we attempt to identify the requirements for providing access to the subjective semantics of complex data. In particular, we focus on how to support the analysis of those dimensions that give rise to multiple subjective interpretations of the data. We propose a data warehouse as a support for the mining process involved. A unique characteristic of the data warehouse lays in its ability to store multiple hierarchical descriptions of the multimedia data.

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

Access this chapter

Log in via an institution
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ekman, P.: An Argument for Basic Emotions. Cognition and Emotion 6(3/4), 169–200 (1992)

    Google Scholar 

  2. von Laban, R.: The mastery of movement, Princeton (1988)

    Google Scholar 

  3. Arijon, D.: Grammar of the film language. Silman James (1991)

    Google Scholar 

  4. Bianchi, N., Bottoni, P., Mussio, P., Rezzonico, G., Strepparava, M.G.: Participatory Interface Design: From Naive Models to Systems. In: International Conference on Human Computer Interaction (1997)

    Google Scholar 

  5. Ekman, P., Friesen, W.V.: Facial Action Coding System. Consulting Psychologists Press, Palo Alto (1976)

    Google Scholar 

  6. Schiphorst, T., Fels, S.: Affect Space: Semantics of Caress. In: Communication of Art, Science, Technology (CAST 2001), pp. 285–287 (2001)

    Google Scholar 

  7. Canamero, L.D., Fredslund, J.: I Show You How I Like You: Human-Robot Interaction through Emotional Expression and Tactile Stimulation. Dept. of Computer Science Technical Report DAIMI PB 544, University of Aarhus, Denmark (2000)

    Google Scholar 

  8. Breazeal, C.: Early Experiments using Motivations to Regulate Human-Robot Interaction. In: Canamero, D. (ed.) Emotional and Intelligent: The Tangled Knot of Cognition. Papers from the 1998 AAAI Fall Symposium (1998); AAAI Technical Report FS-98-03. AAAI Press, Menlo Park (1998)

    Google Scholar 

  9. Tojo, T., Matsusaka, Y., Ishi, T., Kobayashi, T.: A Conversational Robot Using Facial and Body Expressions. In: Proceedings of IEEE International Conference of Systems, Man and Cybernetics, pp. 858–863 (2000)

    Google Scholar 

  10. Camurri, A., Hashimoto, S., Ricchetti, M., Ricci, A., Suzuki, K., Trocca, R., Volpe, G.: EyesWeb – Toward Gesture and Affect Recognition in Dance/Music Interactive Systems. Computer Music Journal 24(1), 57–69 (2000)

    Article  Google Scholar 

  11. Picard, R.W.: Affective Computing, MIT Press, Cambridge (1997)

    Google Scholar 

  12. (2001), http://www.cardesignnews.com/autoshows/2001/tokyo/preview/toyota-pod/

  13. Inder, R., Bianchi-Berthouze, N., Kato, T.: K-DIME: A Software Framework for Kansei Filtering of Internet Material. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, vol. 6, Tokyo, Japan, pp. 241–246 (1999)

    Google Scholar 

  14. Yoshida, K., Kato, T., Yanoru, T.: A Study of Database Systems with Kansei Information. In: IEEE International Conference on Systems Man and Cybernetics 1999, vol. 6, Tokyo, Japan, pp. 253–256 (1999)

    Google Scholar 

  15. Hattori, R., Fujiyoshi, M., Iida, M.: An Education System on WWW for Study Color Impression of Art Paintings Applied NetCatalog. In: IEEE International Conference on Systems Man and Cybernetics 1999, vol. 6, Tokyo, Japan, pp. 218–223 (1999)

    Google Scholar 

  16. Dorai, C., Venkatesh, S. (eds.): Media Computing: Computational Aesthetics. Kluwer Academic Publishers, Dordrecht (2002)

    Google Scholar 

  17. Imai, T., Yamauchi, K., Ishi, N.: Color Coordination System on Case Based Reasoning System using Neural Networks. In: IEEE International Conference on Systems Man and Cybernetics 1999, vol. 6, Tokyo, Japan, pp. 224–229 (1999)

    Google Scholar 

  18. Lee, S., Harada, A.: A Design Approach by Objective and Subjective Evaluation of Kansei Information. In: Proceedings of International Workshop on Robot and Human Communication, pp. 327–332. IEEE Press, Hamamatsu (1998)

    Google Scholar 

  19. Shibata, T., Kato, T.: ”Kansei” Image Retrieval System for Street Landscape. Discrimination and Graphical Parameters based on correlation of Two Images. In: IEEE International Conference on Systems Man and Cybernetics 1999, vol. 6, Tokyo, Japan, pp. 247–252 (1999)

    Google Scholar 

  20. Pashler, H.: Attention and Visual Perception: Analyzing Divided Attention. International Journal of Visual Cognition 2, 71–100 (1996)

    Google Scholar 

  21. Bianchi-Berthouze, N., Lisetti, C.: Modeling Multimodal Expression of Users’ Affective Subjective Experience. International Journal on User Modeling and User- Adapted Interaction 12(1), 49–84 (2002)

    Article  MATH  Google Scholar 

  22. Nakata, T.: Generation of whole-body expressive movement based on somatic theories. In: Proceedings of the second international workshop on Epigenetic Robotics, pp. 105–114 (2002)

    Google Scholar 

  23. Rui, Y., Huang, T.S., Ortega, M., Mehrotra, S.: Relevance Feedback: A power tool in interactive content-based image retrieval. IEEE Transaction on Circuits and Systems for Video Technology 8(5), 644–655 (1998)

    Article  Google Scholar 

  24. Smeulders, A., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-Based Image Retrieval at the end of the early Years. IEEE Transaction on Pattern Analysis and Machine Intelligence 22(12), 10–12 (2000)

    Article  Google Scholar 

  25. Bianchi-Berthouze, N.: Mining Multimedia Subjective Feedback. International Journal of Information Systems. Kluwer Academic Publishers (2002)

    Google Scholar 

  26. Jaimes, A., Chang, S.F.: A Conceptual Framework for Indexing Visual Information at Multiple Levels. In: Internet Imaging 2000, IS&T/SPIE. San Jose, CA (2000)

    Google Scholar 

  27. Timpf, S.: Abstraction, levels of detail, and hierarchies in map series. In: Freksa, C., Mark, D.M. (eds.) COSIT 1999. LNCS, vol. 1661, pp. 125–140. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  28. Bianchi-Berthouze, N., Berthouze, L.: Exploring Kansei in Multimedia Information. International Journal on Kansei Engineering 2(1), 1–10 (2001)

    Google Scholar 

  29. Agrawal, R., Gerhrke, J., Gunopulos, D., Raghavan, P.: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. In: Proceedings of ACM SIGMOD International Conference on Management of Data, Seattle, Washington (1998)

    Google Scholar 

  30. PostgreSQL (2003), http://www.postgresql.org/

  31. Kobayashi, S.: Colorist: a practical handbook for personal and professional use. Kodansha Press (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Database Systems Lab, University of Aizu, Aizu Wakamatsu, 965-8580, Japan

    Nadia Bianchi-Berthouze

  2. Japan Advanced Institute of Science and Technology, Nomi Gun, Ishikawa-Ken, Japan

    Tomofumi Hayashi

Authors
  1. Nadia Bianchi-Berthouze
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tomofumi Hayashi
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Alberta, Canada

    Osmar R. Zaïane

  2. School of Computing and Mathematics, University of Western Sydney, Sydney, NSW, Australia

    Simeon J. Simoff

  3. LIFL-UMR CNRS 8022, Laboratoire d’Informatique Fondamentale de Lille, Université de Lille 1, France

    Chabane Djeraba

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bianchi-Berthouze, N., Hayashi, T. (2003). Subjective Interpretation of Complex Data: Requirements for Supporting Kansei Mining Process. In: Zaïane, O.R., Simoff, S.J., Djeraba, C. (eds) Mining Multimedia and Complex Data. PAKDD 2002. Lecture Notes in Computer Science(), vol 2797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39666-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-39666-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20305-6

  • Online ISBN: 978-3-540-39666-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation