Let's Hear It for Audio Mining
Computer
Spoken Language Processing for Audio Archives of Lectures and Panel Discussions
ICKS '04 Proceedings of the International Conference on Informatics Research for Development of Knowledge Society Infrastructure
Semantic representation: search and mining of multimedia content
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Audio keywords generation for sports video analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
LeeDeo: Web-Crawled Academic Video Search Engine
ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia
An audio indexing system for election video material
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Digital Libraies as Support for e-Learning Activities
ICIW '09 Proceedings of the 2009 Fourth International Conference on Internet and Web Applications and Services
Towards Development of Personalised Knowledge Construction Model for e-Learning
ELML '10 Proceedings of the 2010 Second International Conference on Mobile, Hybrid, and On-Line Learning
Domain-Driven Data Mining: Challenges and Prospects
IEEE Transactions on Knowledge and Data Engineering
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In our rapidly changing world, information and communication technologies have been influential in the development of education. Both teaching and learning can benefit from new IT-based applications that save time and cost and provide practical solutions for teachers and students. This article introduces a prototype for a video search system called Video PowerSearcher. The system provides the capabilities of searching inside video lectures using text-based search queries. Video PowerSearcher separates audio from video contents and performs preprocessing activities to identify indexing features for the video which can be utilized at a later stage for search operations. Experiments were conducted on various lecture videos using Video PowerSearcher to demonstrate desirable features for e-learning systems such as simplicity, speed, and accuracy.