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Toward Emotional Annotation of Multimedia Contents

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Social Media Retrieval

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

Abstract

By annotating multimedia contents, users of a web resource can associate a word or a phrase (tag) with that resource such that other users can retrieve it by means of searching. Nowadays, tags play an important role in search and retrieval process in multimedia content sharing social networks. Explicit tagging refers to assigning tags directly in an explicit way such as typing. Implicit tagging, however, refers to assigning tags by observing users’ behaviors during exposure to multimedia contents. Among various kinds of information that can be obtained for the purpose of implicit tagging, emotional information about a given content is of great interest. In this chapter, we discuss various means of emotion recognition and emotional characterization, which can be used as tools for emotional tagging. A P300-based brain-computer interface system is proposed for the purpose of emotional tagging of multimedia content. We show that this system can successfully perform emotional tagging and naive users who have not participated in the training of the system can also use it efficiently. Furthermore, we present emotional annotating systems using multimedia content analysis and electroencephalogram signal processing and will compare them. Finally, a road map for developing a practical multimodal system for implicit emotional annotation of multimedia contents will be sketched out.

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Notes

  1. 1.

    This work is performed in the framework of European Community’s Seventh Framework Program (FP7/2007-2011) under grant agreement no. 216444 (PetaMedia) and the Swiss National Foundation for Scientific Research. The authors would also like to thank Krista Kappeler for her contribution on emotional characterization using MCA.

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Author information

Authors and Affiliations

  1. Multimedia Signal Processing Group (MMSPG), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

    Ashkan Yazdani & Touradj Ebrahimi

  2. School of Integrated Technology, Yonsei University, Incheon, 406-840, Korea

    Jong-Seok Lee

Authors
  1. Ashkan Yazdani
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  2. Jong-Seok Lee
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  3. Touradj Ebrahimi
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Corresponding author

Correspondence to Ashkan Yazdani .

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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Yazdani, A., Lee, JS., Ebrahimi, T. (2013). Toward Emotional Annotation of Multimedia Contents. 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_11

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  • DOI: https://doi.org/10.1007/978-1-4471-4555-4_11

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  • Online ISBN: 978-1-4471-4555-4

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