Abstract In the recent years, the use of presentation video in E-learning is increasing. On the user’s point of
view, this often requires previewing the digest of such video before watching the original one. This paper proposes a number of methods of extracting important scenes for automatic digest generation digest from the presentation video which is recorded by MPMeister II - the tool for Multimedia Web Contents. The important scenes extractions
are based on several factors, such as word frequency, specificity, duration and orders of the slides. Finally, the results of each methods are evaluated by comparing with the answer sets selected by testers.