Paper Info
Title
Towards Semantic Multimodal Video Annotation
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.
Year
DOI
Venue
2010
10.1007/978-3-642-18184-9_25
COST 237 Workshops
Keywords
Field
DocType
multimodal video annotation,semantic web technique,effective sharing,towards semantic multimodal video,multimodal data,ontology,annotations management,semantic web,research field,video annotation,survey,publically available survey,nowadays semantic web technique,faceted browsing.
Ontology,World Wide Web,Information retrieval,Semantic Web Stack,Computer science,Video annotation,Image retrieval,Semantic Web,Social Semantic Web
Conference
Volume
ISSN
Citations 
6456
0302-9743
3
PageRank 
References 
Authors
0.45
7
3
Name
Order
Citations
PageRank
Marco Grassi119524.61
Christian Morbidoni228937.76
Francesco Piazza3673100.48