Hierarchical Segmentation of Presentation Videos through Visual and Text Analysis

Presentation videos play an important role in information sharing and exchange. To effectively utilize these video assets, one of the important steps is to segment a long video stream into smaller, semantic units. In this paper, we investigate hierarchical segmentation of presentation videos by combining visual and text analysis. Slide-level segmentation employs visual information and computes a sequence of slide-level video segments so that the projected slide image of each such segment does not change. Topic-level segmentation makes use of extracted slide text and generates a sequence of topic-level video segments so that the topic of each such video segment does not change. This proposed segmentation procedure has been tested against various presentation videos and experimental results are presented and discussed.