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International Conference on Current Trends in Theory and Practice of Computer Science

SOFSEM 2013: SOFSEM 2013: Theory and Practice of Computer Science pp 107Cite as

Searching Things in Large Sets of Images

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7741))

Abstract

In this presentation we discuss the challenges of computer vision in general search through images and videos. The point of departure is the digital content of the images, a set of 50 to 100 examples, and smart features, machine learning and computational tools to find the images best answering a one-word specification. This problem is far from being solved, yet the progress as recorded in the yearly TRECvid competitions for image search engines is impressive. We will discuss the difference between the “where” and “what” in images, discuss the need for invariance, fast computational approaches, and the state of the art in image search engines.

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Author information

Authors and Affiliations

  1. University of Amsterdam, The Netherlands

    Arnold Smeulders

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  1. Arnold Smeulders
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Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Amsterdam, Plantage Muidergracht 24, 1018 TV, Amsterdam, The Netherlands

    Peter van Emde Boas

  2. Informatics Institute, Intelligent Systems Lab Amsterdam, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands

    Frans C. A. Groen

  3. Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Rome, Italy

    Giuseppe F. Italiano

  4. Institute of Computing Science, Poznan University of Technology, ul. Piotrowo 2, 60-965, Poznan, Poland

    Jerzy Nawrocki

  5. Hasso-Plattner-Institute for Software Systems Engineering, Prof.-Dr.-Helmert-Str. 2-3, 14482, Potsdam, Germany

    Harald Sack

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© 2013 Springer-Verlag Berlin Heidelberg

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Smeulders, A. (2013). Searching Things in Large Sets of Images. In: van Emde Boas, P., Groen, F.C.A., Italiano, G.F., Nawrocki, J., Sack, H. (eds) SOFSEM 2013: Theory and Practice of Computer Science. SOFSEM 2013. Lecture Notes in Computer Science, vol 7741. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35843-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-35843-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35842-5

  • Online ISBN: 978-3-642-35843-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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