This document discusses an automatic methodology for indexing lecture videos to classify semantic fragments and enable context-based retrieval for e-learning materials. It presents a temporal state model for classifying lectures into states like introduction, definitions, theory, etc. based on extracted low-level audio, video and text features. An experiment applied the method to 26 videos and tested contextual searching and personalized retrieval based on a user's viewing purpose like first viewing or exam preparation.
Content Classification And Context Based Retrieval System For E Learning
1. Content Classification and Context-Based Retrieval System for E-Learning Ankush Mittal , Pagalthivarthi V. Krishnan , Edward Altman International Forum of Educational Technology & Society , 2006
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