Content-Clipping System Using Multi-modal Analysis

We report on the development of a content authoring system for clipping parts that a user requires from audio-visual e-learning contents. The system can analyze lengthy contents for e-learning by using the contents and information related to the contents. It lets the user easily find parts that he/she wants via the user interface. This system enables users to peruse only the required part of the lesson content, which should improve the efficiency of studying.