The virtual tele-tASK professor: semantic search in recorded lectures
Proceedings of the 38th SIGCSE technical symposium on Computer science education
Towards to an automatic semantic annotation for multimedia learning objects
Proceedings of the international workshop on Educational multimedia and multimedia education
Dynamic Browsing of Audiovisual Lecture Recordings Based on Automated Speech Recognition
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Question Answering from Lecture Videos Based on Automatically-Generated Learning Objects
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
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
Multimedia analysis techniques for e-learning
International Journal of Learning Technology
Advanced Mobile Lecture Viewing: Summarization and Two-Way Navigation
International Journal of Handheld Computing Research
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In this paper, we present a general architecture and a new retrieval method for an educational system that is based on a knowledge base of existing recorded lectures. The extraction of metadata from the multimedia resources is one of the main parts of this paper. The recorded lectures are transcripted by an out-of-the-box speech recognition software. The speech recognition software generates a time stamp for each word. These resources are divided into clusters, marked by timestamps, so that search engines are able to find the exact position of particular information inside a course. Finally, a retrieval method is presented that allows users to find "example", "explanation", "overview", "repetition", "exercise" for a particular word or topic-word. This is useful for the student's learning process and allows easy navigation of the multimedia database for pervasive learning.