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
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
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)
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)
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)
Germer, T., Götzelmann, T., Spindler, M., Strothotte, T.: Springlens: Distributed nonlinear magnifications. In: Eurographics 2006 - Short Papers (2006)
Kruskal, J., Wish, M.: Multidimensional Scaling. Sage, Thousand Oaks (1986)
Lux, M.: Caliph & Emir: MPEG-7 photo annotation and retrieval. In: Proc. of 17th ACM Int. Conf. on Multimedia (2009)
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)
Martinez, J., Koenen, R., Pereira, F.: MPEG-7: The generic multimedia content description standard, part 1. IEEE MultiMedia 9(2), 78–87 (2002)
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)
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)
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)
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)
Stober, S., Nürnberger, A.: Musicgalaxy – an adaptive user-interface for exploratory music retrieval. In: Proc. of 7th Sound and Music Conference, SMC 2010 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)