Video Scene Segmentation Using the State Recognition of Blackboard for Blended Learning

We are developing the automatic generating system for video contents with keyword tag in blended learning. The generated lecture movie is too long for students to watch the lecture video on demand. We are considering the segmentation method of the lecture movie by the behavior of a lecturer. In this paper, we present a new segmentation method for one lecture movie to some shots using the behavior of a lecturer such as up-down movement of a blackboard and the erasure of characters on the blackboard. These behaviors are the sign of contents segmentation from the lecturer to students. The system detects the event time of these behaviors, and segments the lecture movie using the event time. We implemented our procedure and evaluated the validity using the lecture movie of some real lectures, and confirm that an accurate segmentation rate is 97%.