Towards semantic multimodal video annotation

  • Authors:
  • Marco Grassi;Christian Morbidoni;Francesco Piazza

  • Affiliations:
  • Department of Biomedical, Electronic and Telecommunication Engineering, Università Politecnica delle Marche - Ancona, Italy;Department of Biomedical, Electronic and Telecommunication Engineering, Università Politecnica delle Marche - Ancona, Italy;Department of Biomedical, Electronic and Telecommunication Engineering, Università Politecnica delle Marche - Ancona, Italy

  • Venue:
  • Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues
  • Year:
  • 2010

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Abstract

Nowadays Semantic Web techniques are finding applications in several research fields. We believe that they can be beneficial also in multimodal video annotation to enhance the annotations management and to promote an effective sharing of collected multimodal data and annotations. To have an insight about how the task of video annotation is commonly performed and the created annotations are managed and to evaluate how to improve these tasks using semantic web techniques, we set up a publically available survey. In this paper, we discuss the results of the survey and trace a roadmap towards the application of semantic web techniques for the management of multimodal video annotations.