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How to Select and Customize Object Recognition Approaches for an Application?

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Advances in Multimedia Modeling (MMM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7131))

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Abstract

Recently, object recognition has been successfully implemented in a couple of multimedia content annotation and retrieval applications. The employed recognition approaches are carefully selected and adapted to the specific needs of their tasks. In this work, we propose a framework to automate the simultaneous selection and customization of the entire recognition process. This framework only requires an annotated set of sample images or videos and precisely specified task requirements to select an appropriate setup among thousands of possibilities. We use an efficient recognition infrastructure and iterative analysis strategies to make this approach practicable for real-world applications. A case study for face recognition from a single image per person demonstrates the capabilities of this holistic approach.

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Author information

Authors and Affiliations

  1. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11, A-1040, Vienna, Austria

    Robert Sorschag

Authors
  1. Robert Sorschag
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Editor information

Editors and Affiliations

  1. Institute of Information Technology, Alpen-Adria-Universität Klagenfurt, Universitätsstr. 65-67, 9020, Klagenfurt, Austria

    Klaus Schoeffmann

  2. EURECOM, 2229 Rout des Crêtes, BP 193, 06904, Sophia Antipolis Cedex, France

    Bernard Merialdo

  3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, 15213-3890, Pittsburgh, PA, USA

    Alexander G. Hauptmann

  4. Department of Computer Science, City University of Hong Kong, Tat Chee Ave, Kowloon, Hong Kong

    Chong-Wah Ngo

  5. Department of Electronic and Electrical Engineering, University College London, Roberts Building, Torrington Place, WC1E 7JE, London, UK

    Yiannis Andreopoulos

  6. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11 188/2, 1040, Vienna, Austria

    Christian Breiteneder

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© 2012 Springer-Verlag Berlin Heidelberg

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Sorschag, R. (2012). How to Select and Customize Object Recognition Approaches for an Application?. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, CW., Andreopoulos, Y., Breiteneder, C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27355-1_42

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  • DOI: https://doi.org/10.1007/978-3-642-27355-1_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27354-4

  • Online ISBN: 978-3-642-27355-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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