Automatic Video Segmentation and Story-Based Authoring in E-Learning

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Executive Summary

In e-learning, video is widely used in many course domains. The authors address the problem of the lecture recording and the organization of visual information through user's interaction at different steps. Their work focuses on the following three important areas: synchronization method of the material contents, interactions between material and users, and construction of adaptive presentation methods in solving different knowledge levels. This paper proposes a story-based editing and browsing system with the automatic video segmentation. They also point out that a video classification technology can be further integrated to enhance the tool by using visual and audio information.

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