Authors:
Haojin Yang
;
Franka Gruenewald
and
Christoph Meinel
Affiliation:
University of Potsdam, Germany
Keyword(s):
Recorded Lecture Videos, Tele-teaching, Video Indexing, Multimedia Retrieval.
Related
Ontology
Subjects/Areas/Topics:
Authoring Tools and Content Development
;
Av-Communication and Multimedia
;
Computer-Supported Education
;
e-Learning
;
e-Learning Hardware and Software
;
e-Learning Platforms
;
Information Technologies Supporting Learning
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Web-Based Learning, Wikis and Blogs
Abstract:
Multimedia-based tele-teaching and lecture video portals have become more and more popular in the last few
years. The amount of multimedia data available on the WWW (World Wide Web) is rapidly growing. Thus,
finding lecture video data on the web or within a lecture video portal has become a significant and challenging
task. In this paper, we present an approach for lecture video indexing based on automated video segmentation
and extracted lecture outlines. First, we developed a novel video segmenter intended to extract the unique slide
frames from the lecture video. Then we adopted video OCR (Optical Character Recognition) technology to
recognize texts in video. Finally, we developed a novel method for extracting of lecture outlines from OCRtranscripts.
Both video segments and extracted lecture outlines are further utilized for the video indexing. The
accuracy of the proposed approach is proven by evaluation.