Video Learning Object Extraction and Standardized Metadata

Abstract

In this study, we propose a Content-based Learning Content Management System (CBLCMS). Through this system, video content can be segmented by an automatic shot/scene retrieval technology and stored in the Learning Asset Database (LADB). Using the MPEG-7 visual descriptor to define the metadata of the multimedia assets, users (teachers) is easier to construct their learning material, for example, SCO. By integration of MPEG-7 and SCORM standards, the learning material can be used in any LMS (Learning Management System), as long as it also conforms to SCORM standard. Since the mental illness prevails to bring about many social problems over the years, understanding the symptoms of mental illness and treatment is important for the care giver. For this reason, a home care teaching materials will be treated as an example to elucidate the operation of the system.

Using Linked Data to Annotate and Search Educational Video Resources for Supporting Distance Learning

“…. Dublin Core, in its RDFS form, 3 for metadata such as a video's title, and the author and creation time of each annotation. To tie together the data described using these vocabularies, we designed a small vocabulary specific to the annotations, the core of which is: /Ã We define extra necessary properties that is used to describe the annotations Ã/ /Ã "fronts" specifies that a video is a media resources Ã/ :fronts a rdfs:Property; rdfs:domain :Video ; rdfs:range :MediaResource .…”

“…The digital video, as one type of the multimedia educational resource, plays a key role in distance learning environments [2]. With rapidly growing numbers of digital educational video resources being created, it is important to accurately describe the video content and enable the searching of potential videos in order to enhance the quality and features of e-learning systems [3].…”