Semantic Indexing for Recorded Educational Lecture Videos
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Segmentation and annotation of audiovisual recordings based on automated speech recognition
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
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The number of digital lecture video recordings has increased dramatically since recording technology became available. The accessibility and the search inside of this large archive are limited and difficult. Manual annotation and segmentation is time-consuming and useless. A promising approach is based on using the audio layer of a lecture recording to get information about the lecture contents. In this paper, we are presenting a retrieval method and a user-interface based on existing recorded lectures. A deficient transcription from a speech recognition engine (SRE) is sufficient for browsing in the video-archive. A user-interface for dynamic browsing of the e-learning contents is presented and an evaluation of the supplied keywords concludes the paper.