Towards Supporting Non-linear Navigation in Educational Videos

Abstract

MOOC participants spend most of their time watching videos in a course and recent studies have found that there is a requirement of non-linear navigation system for educational videos. We propose a system that provides efficient and non-linear navigation in a given video using multi-modal dimensions (i.e. customized word-cloud, image cloud) derived from video content. The end-to-end system is implemented and we demonstrate capabilities of proposed system using any given YouTube or MOOC video.