E-Learning: Educational Video Search through Dynamic Video Annotation

Abstract

Multimedia tools available on the web, particularl y for learning environments, play an important role in the fiel d of education. With the growing number of these multimedia tools, it is important to explore, share, recycle and connect the m to enhance learning experiences. Many videos available on the web lack semantic connections between them even though they have some similarity through their content. Hence to bridge the gap between the semantically related videos, in the proposed system, we adopt the Linked Data technology, in order to semantically annotate the video resources. The relationships between those annotations are stored in the video annotation ontology. The proposed method provides the benefits of high accuracy, performance and good knowledge for the users.