Video cut detection in E-Learning applications

Real-time video transmission is considered as an important means for information distribution. One major application of it is e-learning, which requires real-time video processing and transmission. On the other hand, the process of cut detection is a fundamental component in automatic video browsing, indexing, searching, retrieval, and archiving. This paper introduces a new video cut detection technique that uses dominant lines and angles extracted from edge information of the video contents. To the best of our knowledge, it is the first works done for cut detection in e-learning application. This method is compatible with our applicationpsilas requirements and has a low complexity and high speed. We have compared the performance of our proposed method against three established techniques and have evaluated the results using different video sequences.