Type

Conference Proceedings

Authors

Markus Koskela
Alan F. Smeaton
Emilie Garnaud

Subjects

Computer Science

Topics
ontology user experiments information retrieval video annotation semantic concepts digital video semantic concept distances lscom

Evaluation of a video annotation tool based on the LSCOM ontology (2006)

Abstract In this paper we present a video annotation tool based on the LSCOM ontology [1] which contains more than 800 semantic concepts. The tool provides four different ways for the user to locate appropriate concepts to use, namely basic search, search by theme, tree traversal and one which uses pre-computed concept similarities to recommend concepts for the annotator to use. A set of user experiments is reported demonstrating the relative effectiveness of the different approaches.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
Ireland -> Dublin City University -> Subject = Computer Science: Digital video
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Markus Koskela, Alan F. Smeaton, Emilie Garnaud

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 492