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Multimedia Information Networks in Social Media

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Abstract

The popularity of personal digital cameras and online photo/video sharing community has lead to an explosion of multimedia information. Unlike traditional multimedia data, many new multimedia datasets are organized in a structural way, incorporating rich information such as semantic ontology, social interaction, community media, geographical maps, in addition to the multimedia contents by themselves. Studies of such structured multimedia data have resulted in a new research area, which is referred to as Multimedia Information Networks. Multimedia information networks are closely related to social networks, but especially focus on understanding the topics and semantics of the multimedia files in the context of network structure. This chapter reviews different categories of recent systems related to multimedia information networks, summarizes the popular inference methods used in recent works, and discusses the applications related to multimedia information networks. We also discuss a wide range of topics including public datasets, related industrial systems, and potential future research directions in this field.

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Authors and Affiliations

  1. Beckman Institute and Coordinated Science Lab Department of ECE, University of Illinois at Urbana-Champaign, Champaign, USA

    Liangliang Cao, GuoJun Qi, Shen-Fu Tsai, Min-Hsuan Tsai, Andrey Del Pozo & Thomas S. Huang

  2. Multimedia Interaction and Understanding Lab, HP Labs, Palo Alto, CA, USA

    Xuemei Zhang & Suk Hwan Lim

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Correspondence to Liangliang Cao .

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  1. Thomas J. Watson Research Center, IBM, Skyline Drive 19, Hawthorne, 10532, New York, USA

    Charu C. Aggarwal

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© 2011 Springer Science+Business Media, LLC

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Cao, L. et al. (2011). Multimedia Information Networks in Social Media. In: Aggarwal, C. (eds) Social Network Data Analytics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8462-3_15

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  • DOI: https://doi.org/10.1007/978-1-4419-8462-3_15

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  • Online ISBN: 978-1-4419-8462-3

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