Algorithms for approximate string matching
Information and Control
Teaching and learning as multimedia authoring: the classroom 2000 project
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Passive capture and structuring of lectures
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Auto-summarization of audio-video presentations
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
High level segmentation of instructional videos based on content density
Proceedings of the tenth ACM international conference on Multimedia
Automatic Detection of Signs with Affine Transformation
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
A real-time interactive virtual classroom multimedia distancelearning system
IEEE Transactions on Multimedia
Summarization of videotaped presentations: automatic analysis of motion and gesture
IEEE Transactions on Circuits and Systems for Video Technology
Matching slides to presentation videos using SIFT and scene background matching
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
An automated end-to-end lecture capture and broadcasting system
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Robust Alignment of Presentation Videos with Slides
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Imposing hierarchical browsing structures onto spoken documents
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A normalized-cut alignment model for mapping hierarchical semantic structures onto spoken documents
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
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An essential goal of structuring lecture videos captured in live presentation is to provide a synchronized view of video clips and electronic slides. This paper presents an automatic approach to match video clips and slides based on the analysis of text embedded in lecture videos. We describe a method to reconstruct high-resolution video texts from multiple keyframes for robust OCR recognition. A two-stage matching algorithm based on the title and content similarity measures between video clips and slides is also proposed.