FastPerson: Enhancing Video Learning through Effective Video
  Summarization that Preserves Linguistic and Visual Contexts
Kazuki Kawamura Jun Rekimoto
Quickly understanding lengthy lecture videos is essential for learners with
limited time and interest in various topics to improve their learning
efficiency. To this end, video summarization has been actively researched to
enable users to view only important scenes from a video. However, these studies
focus on either the visual or audio information of a video and extract
important segments in the video. Therefore, there is a risk of missing
important information when both the teacher's speech and visual information on
the blackboard or slides are important, such as in a lecture video. To tackle
this issue, we propose FastPerson, a video summarization approach that
considers both the visual and auditory information in lecture videos.
FastPerson creates summary videos by utilizing audio transcriptions along with
on-screen images and text, minimizing the risk of overlooking crucial
information for learners. Further, it provides a feature that allows learners
to switch between the summary and original videos for each chapter of the
video, enabling them to adjust the pace of learning based on their interests
and level of understanding. We conducted an evaluation with 40 participants to
assess the effectiveness of our method and confirmed that it reduced viewing
time by 53\% at the same level of comprehension as that when using traditional
video playback methods.