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International Conference on Multimedia Modeling

MMM 2012: Advances in Multimedia Modeling pp 2Cite as

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Mining Multimedia Data for Meaning

Mining Multimedia Data for Meaning

(Extended Abstract)

  • John R. Smith22 
  • Conference paper
  • 2030 Accesses

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

Abstract

The explosion of images, video and multimedia is creating a valuable source for insights. It can tell us about things happening in the world, give clues about a person’s preferences or experiences, indicate places of interest in a new town, and even capture a rolling log of our history. But, as a non-traditional source for data mining, there are numerous challenges to be overcome in order to handle the volume, velocity and variety of multimedia data in practice. In this talk, we review several application areas across Web, social media, mobile and safety/security and show how they benefit from mining of multimedia data. We review novel approaches for modeling semantics and automatically classifying visual contents and demonstrate examples in the context of IBM Multimedia Analysis and Retrieval System (IMARS).

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Authors and Affiliations

  1. IBM T. J. Watson Research Center, 19 Skyline Drive, Hawthorne, NY, 10532, USA

    John R. Smith

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  1. John R. Smith
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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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Smith, J.R. (2012). Mining Multimedia Data for Meaning. 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_2

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  • DOI: https://doi.org/10.1007/978-3-642-27355-1_2

  • 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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