doi: 10.4304/jsw.4.2.140-146
Automatic Video Segmentation and Story-Based Authoring in E-Learning
2Department of Computer information and Network Engineering, Lunghwa University of Science and Technology, Taiwan, R.O.C.
Abstract—In e-learning, video is widely used in many course domains. We address the problem of the lecture recording and the organization of visual information through user’s interaction at different steps. Our work focuses on the following three important areas: (1) synchronization method of the material contents and (2) interactions between material and users (3) construction of adaptive presentation methods in solving different knowledge levels. This paper proposes a story-based editing and browsing system with the automatic video segmentation. We also point out that a video classification technology can be further integrated to enhance the tool by using visual and audio information. In addition to the semantic segmentation, an instructional video can be edited with an instructor’s story. The story-based editing is similar to hypervideo. Hypervideo is used as a hyperlink in a web. An instructor can constructs an instructional material by hypervideo links. For delivering pre-recorded lectures, we start our discussion on a multimedia presentation recording system which we had developed.
Index Terms—video segmentation, story-based, elearning, video presentation, video authoring
Cite: Yi-Chun Liao and Chun-Hong Huang, "Automatic Video Segmentation and Story-Based Authoring in E-Learning," Journal of Software vol. 4, no. 2, pp. 140-146, 2009.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
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