No abstract

No abstract

Virtpresenter is a system for recording lectures and for re-using recorded contents in other didactic scenarios. Here we demonstrate how the interaction of earlier visitors in form of footprints can be used for extracting relevant passages in time based media. We illustrate how to extract online web lecture snippets for enriching static contents of a course wiki page or student blogs.

User awareness has become a popular feature in many social web applications. In classic text-based web-systems, user awareness features show how many users are online in a web application or how many users are accessing the same web page. When time based media like web lectures are concerned this approach comes to its limits since time-based media are inherently different from classic text-based media.The main difference in these two types of media is that text-based media can easily be skimmed at a glance while video-or audio-objects have to be fully replayed when users want to grasp their content.This paper presents an approach that employs time-based usage statistics for all users in a web lecture system in order to provide users with a means to communicate with other users who are online and have watched those parts of a media object that the user is interested in.The work is implemented in the context of the Opencast Matterhorn project -an open source based project for producing, managing and distributing academic video content.