A Video Retrieval System for Computer Assisted Language Learning

Authors:
Chin-Hwa Kuo;Nai-Lung Tsao;Chen-Fu Chang;David Wible
Affiliations:
Department of Computer Science and Information Engineering, Tamkang University, Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Taiwan;Department of Computer Science and Information Engineering, Tamkang University, Taiwan;English Department, Tamkang University, Taiwan
Venue:
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Year:
2005

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Abstract

Video has been presented as an effective medium for computer assisted language learning. However, there exist few efficient accessing and managing tools. In this paper, we propose a retrieval system for a large video database. The system retrieves video clips by searching video subtitle text. For language learning, we have designed a syntax search engine embedded in this system. This search engine uses regular expression as the query language and an index construction algorithm is well-designed for speeding up regular expression matching. To ease the burden of authoring lessons from these materials, we implement an automatic video segmentation algorithm to present complete events or actions as final results. The integration of this system and other tools in our authoring environment is also briefly described.