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Solving Conflicts in Video Semantic Annotation Using Consensus-Based Social Networking in a Smart TV Environment

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Advanced Computational Methods for Knowledge Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 282))

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Abstract

Smart TV media content can be embedded with available information from the Internet and shared via the Social Web. An increasing number of social videos are now available as well as traditional digital videos such as TV programs and video on demand (VOD). However, it is difficult to find relevant content due to a lack of semantic content. Therefore, there is a great need for multimedia content analysis techniques. In this work, we propose a framework of collaborative semantic video annotation using consensus-based social network. The collaborative video annotation process is organized via social networking. The media content is shared with friends of friend who collaboratively annotate it. We use ontologies to semantically describe the media content and share the media content amongst the users. A consensus choice is applied to conciliate conflicts on annotation information among the participants. According to our experiments, a consensus method is an effective approach that can be used to solve conflicts in a collaborative annotation.

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Author information

Authors and Affiliations

  1. International University- Vietnam National University, Ho Chi Minh, Vietnam

    Trong Hai Duong & Tran Hoang Chau Dao

  2. Yeungnam University, Dae-Dong, Gyeungsan, Korea

    Jason J. Jung

  3. Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

Authors
  1. Trong Hai Duong
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  2. Tran Hoang Chau Dao
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  3. Jason J. Jung
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  4. Ngoc Thanh Nguyen
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Corresponding author

Correspondence to Trong Hai Duong .

Editor information

Editors and Affiliations

  1. Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary

    Tien van Do

  2. Ile du Saulcy, LITA, UFR MIM, Metz, France

    Hoai An Le Thi

  3. Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

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Duong, T.H., Dao, T.H.C., Jung, J.J., Nguyen, N.T. (2014). Solving Conflicts in Video Semantic Annotation Using Consensus-Based Social Networking in a Smart TV Environment. In: van Do, T., Thi, H., Nguyen, N. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-319-06569-4_15

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  • DOI: https://doi.org/10.1007/978-3-319-06569-4_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06568-7

  • Online ISBN: 978-3-319-06569-4

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