Video management systems require semantic annotation of video for indexing and retrieval tasks. Currently, it is not possible to extract all high-level semantic information automatically. Also, automatic content based retrieval systems use high-level semantic annotations as ground truth data. We present a semi-automatic semantic video annotation tool that assists user to generate annotations to describe video in fine detail. Annotation process is partly automated to reduce annotation time. Generated annotations are in MPEG-7 metadata format for interoperability. © 2013 Springer-Verlag London.
CITATION STYLE
Aydinlilar, M., & Yazici, A. (2013). Semi-automatic semantic video annotation tool. In Computer and Information Sciences III - 27th International Symposium on Computer and Information Sciences, ISCIS 2012 (pp. 303–310). Kluwer Academic Publishers. https://doi.org/10.1007/978-1-4471-4594-3_31
Mendeley helps you to discover research relevant for your work.