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Survey of Semantic Media Annotation Tools for the Web: Towards New Media Applications with Linked Media

  • Lyndon NixonEmail author
  • Raphaël Troncy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

Semantic annotation of media resources has been a focus in research since many years, the closing of the “semantic gap” being seen as key to significant improvements in media retrieval and browsing and enabling new media applications and services. However, current tools and services exhibit varied approaches which do not easily integrate and act as a barrier to wider uptake of semantic annotation of online multimedia. In this paper, we outline the Linked Media principles which can help form a consensus on media annotation approaches, survey current media annotation tools against these principles and present two emerging toolsets which can support Linked Media conformant annotation, closing with a call to future semantic media annotation tools and services to follow the same principles and ensure the growth of a Linked Media layer of semantic descriptions of online media which can be an enabler to richer future online media services.

Keywords

Annotation Tool Semantic Annotation Online Medium Video Annotation Entity Extraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was partially supported by the European Union’s 7th Framework Programme via the projects LinkedTV (GA 287911) and MediaMixer (GA 318101) as well as the Austrian FFG COIN programme through the project ConnectME.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.MODUL UniversityViennaAustria
  2. 2.EURECOMSophia AntipolisFrance

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