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. © 2011 Springer.
CITATION STYLE
Grassi, M., Morbidoni, C., & Piazza, F. (2011). Towards semantic multimodal video annotation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6456 LNCS, pp. 305–316). https://doi.org/10.1007/978-3-642-18184-9_25
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