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Detecting Multimedia Contents of Social Events in Social Networks

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Social Media Retrieval

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Friends visit many social events together, take photos of each other and upload them in several accounts in different types of social media such as Flickr or Facebook. In this chapter we define the different types of events in social media and introduce two approaches in the state of the art of detecting the media content of an event. The first is an ontology-based approach where the metadata is basically used to obtain the content of a well-defined event and the visual features are used to prune the results to finally get the illustrative elements. The second approach exploits a mixture of features (visual, social, structural and metadata) that we also explain in this chapter and fuses them in a probabilistic model to link the media elements of different users and albums to their representative event. We discuss the advantage and disadvantage of each approach and the cases of using each.

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Notes

  1. 1.

    http://linkedevents.org/ontology/

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Author information

Authors and Affiliations

  1. OFFIS – Institute for Information Technology, Escherweg2, Oldenburg, D-26121, Germany

    Mohamad Rabbath

  2. University of Oldenburg, Oldenburg, Germany

    Susanne Boll

Authors
  1. Mohamad Rabbath
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  2. Susanne Boll
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Corresponding author

Correspondence to Mohamad Rabbath .

Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom

    Naeem Ramzan

  2. Director of Product Innovation, Search, Netflix, Winchester Circle 100, Los Gatos, 95032, California, USA

    Roelof van Zwol

  3. School of Integrated Technology, Yonsei University, 162-1 Songdo-dong, Yeonsu-gu, Incheon, 406-840, Korea, Republic of (South Korea)

    Jong-Seok Lee

  4. Institut für Telekommunikationssysteme, Technische Universität Berlin, Einsteinufer 17, Berlin, 10587, Germany

    Kai Clüver

  5. Media Computing Group, Microsoft Research, 555 108th Ave NE, Bellevue, 98004, Washington, USA

    Xian-Sheng Hua

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Rabbath, M., Boll, S. (2013). Detecting Multimedia Contents of Social Events in Social Networks. In: Ramzan, N., van Zwol, R., Lee, JS., Clüver, K., Hua, XS. (eds) Social Media Retrieval. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4555-4_5

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  • DOI: https://doi.org/10.1007/978-1-4471-4555-4_5

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  • Print ISBN: 978-1-4471-4554-7

  • Online ISBN: 978-1-4471-4555-4

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