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International Workshop on Adaptive Multimedia Retrieval

AMR 2010: Adaptive Multimedia Retrieval. Context, Exploration, and Fusion pp 46–60Cite as

Approaching Multimedia Retrieval from a Polyrepresentative Perspective

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

Abstract

Multimedia documents such as videos, images, or music are characterized by an amount of different qualities that can become relevant during a search task. These qualities are seldom reflected as a whole by retrieval models. Thus, we present a new query model, which fully supports the principle of polyrepresentation by taking advantage of quantum logic. We offer means to model document relevance as a cognitive overlap from various features describing a multimedia document internally. Using our query model, the combination of the aforementioned polyrepresentative features is supported by the mechanisms of a Boolean algebra. In addition, these overlaps can be personalized by user preferences during a machine-based learning supported relevance feedback process. The input for the relevance feedback is based on qualitative judgments between documents, which are known from daily life, to keep the cognitive load on users low.

We further discuss how our model contributes to the unification of different aspects of polyrepresentation into one sound theory.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Database and Information Systems Group, Brandenburg Technical University Cottbus, Germany

    David Zellhöfer & Ingo Schmitt

Authors
  1. David Zellhöfer
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  2. Ingo Schmitt
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Editor information

Editors and Affiliations

  1. Université Pierre et Marie Curie, CNRS research associate, LIP6, 4 place Jussieu, 75005, Paris, France

    Marcin Detyniecki

  2. Department of Computational Perception, Johannes Kepler University, Altenberger Straße 69, 4040, Linz, Austria

    Peter Knees  & Markus Schedl  & 

  3. Faculty of Computer Science, Otto-von-Guericke University, Universitätsplatz 2, 39406, Magdeburg, Germany

    Andreas Nürnberger

  4. Faculty of Computer Science, Otto-von-Guericke University, Universitätsplatz 2, 39106, Magdeburg, Germany

    Sebastian Stober

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© 2011 Springer-Verlag Berlin Heidelberg

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Zellhöfer, D., Schmitt, I. (2011). Approaching Multimedia Retrieval from a Polyrepresentative Perspective. 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_4

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  • DOI: https://doi.org/10.1007/978-3-642-27169-4_4

  • 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)

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