Skip to main content

Similarity Adaptation in an Exploratory Retrieval Scenario

  • Conference paper
Adaptive Multimedia Retrieval. Context, Exploration, and Fusion (AMR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6817))

Included in the following conference series:

Abstract

Sometimes users of a multimedia retrieval system are not able to explicitly state their information need. They rather want to browse a collection in order to get an overview and to discover interesting content. Exploratory retrieval tools support users in search scenarios where the retrieval goal cannot be stated explicitly as a query or user rather want to browse a collection in order to get an overview and to discover interesting content. In previous work, we have presented Adaptive SpringLens – an interactive visualization technique building upon popular neighborhood-preserving projections of multimedia collections. It uses a complex multi-focus fish-eye distortion of a projection to visualize neighborhood that is automatically adapted to the user’s current focus of interest. This paper investigates how far knowledge about the retrieval task collected during interaction can be used to adapt the underlying similarity measure that defines the neighborhoods.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
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. Bade, K., Nürnberger, A.: Creating a cluster hierarchy under constraints of a partially known hierarchy. In: Proc. of 8th SIAM Int. Conf. on Data Mining (2008)

    Google Scholar 

  2. Cheng, W., Hüllermeier, E.: Learning similarity functions from qualitative feedback. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 120–134. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  3. Fan, R., Chang, K., Hsieh, C., Wang, X., Lin, C.: Liblinear: A library for large linear classification. The Journal of Machine Learning Research 9, 1871–1874 (2008)

    MATH  Google Scholar 

  4. Germer, T., Götzelmann, T., Spindler, M., Strothotte, T.: Springlens: Distributed nonlinear magnifications. In: Eurographics 2006 - Short Papers (2006)

    Google Scholar 

  5. Kruskal, J., Wish, M.: Multidimensional Scaling. Sage, Thousand Oaks (1986)

    Google Scholar 

  6. Lux, M.: Caliph & Emir: MPEG-7 photo annotation and retrieval. In: Proc. of 17th ACM Int. Conf. on Multimedia (2009)

    Google Scholar 

  7. Manjunath, B.S., Ohm, J.-R., Vasudevan, V.V., Yamada, A.: Color and texture descriptors. IEEE Transactions on Circuits and Systems for Video Technology 11, 703–715 (1998)

    Article  Google Scholar 

  8. Martinez, J., Koenen, R., Pereira, F.: MPEG-7: The generic multimedia content description standard, part 1. IEEE MultiMedia 9(2), 78–87 (2002)

    Article  Google Scholar 

  9. Stober, S., Hentschel, C., Nürnberger, A.: Evaluation of adaptive springlens – a multi-focus interface for exploring multimedia collections. In: Proc. of 6th Nordic Conference on Human-Computer Interaction, NordiCHI 2010 (2010)

    Google Scholar 

  10. Stober, S., Hentschel, C., Nürnberger, A.: Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface. In: Proc. of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010) (2010)

    Google Scholar 

  11. Stober, S., Nürnberger, A.: Towards user-adaptive structuring and organization of music collections. In: Detyniecki, M., Leiner, U., Nürnberger, A. (eds.) AMR 2008. LNCS, vol. 5811, pp. 53–65. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  12. Nürnberger, A., Stober, S.: User modelling for interactive user-adaptive collection structuring. In: Boujemaa, N., Detyniecki, M., Nürnberger, A. (eds.) AMR 2007. LNCS, vol. 4918, pp. 95–108. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Stober, S., Nürnberger, A.: Musicgalaxy – an adaptive user-interface for exploratory music retrieval. In: Proc. of 7th Sound and Music Conference, SMC 2010 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Stober, S., Nürnberger, A. (2011). Similarity Adaptation in an Exploratory Retrieval Scenario. In: Detyniecki, M., Knees, P., Nürnberger, A., Schedl, M., Stober, S. (eds) Adaptive Multimedia Retrieval. Context, Exploration, and Fusion. AMR 2010. Lecture Notes in Computer Science, vol 6817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27169-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27169-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27168-7

  • Online ISBN: 978-3-642-27169-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics