Abstract
Our method can create learning-friendly low-definition lecture video from a video captured by a high definition fixed camera, no specific equipment or training is needed. The proposed method automatically extracts the screen position, the speaker's dynamic position and the slide changes from the video of a lecture to produce a spatially-condensed low-resolution version of the video. We conduct user tests to evaluate the operation time and the quality of the videos produced by the proposed method and reach the following conclusions: (1) The proposed method can automatically generate about 640 × 480 pixel videos that are suitable for video distribution, then the full, high-definition videos (1920 × 1080 pixels) are subjected to non-linear reduction. (2) The edited videos well support learning. (3) All subjects could input the initial information needed for detecting positions of the speaker and the slide within just a few minutes.
Original language | English |
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Pages (from-to) | 697-707 |
Number of pages | 11 |
Journal | Journal of the Institute of Image Electronics Engineers of Japan |
Volume | 41 |
Issue number | 6 |
Publication status | Published - 2012 |
Keywords
- Content creation
- Face detection
- Lecture video
- Video archiving
- Video editing
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Electrical and Electronic Engineering