Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skew correction of document images using interline cross-correlation
CVGIP: Graphical Models and Image Processing
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blackboard Segmentation Using Video Image of Lecture and Its Applications
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Neural network-based systems for handprint OCR applications
IEEE Transactions on Image Processing
Designing an intelligent user interface for instructional video indexing and browsing
Proceedings of the 11th international conference on Intelligent user interfaces
Context-aware search inside e-learning materials using textbook ontologies
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
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Handwritten text frames appear frequently in educational videos and can be used as an important cue for semantic analysis of educational videos. We detect text frames using a motion pattern analyzing algorithm. Then we extract binary handwritten word images from the text frames in various visual formats: handwritten slides, electronic slides, handwriting on chalkboard, etc. We propose a handwritten word recognition method, using combined dynamic programming stroke-based character segmentation with optimal statistical handwritten character recognition. In parallel, we construct a small vocabulary from topic words taken from table-of-contents of course materials such as the course textbook. We use the handwritten word recognition results to query this table-of-contents structure, implemented as latent semantic analysis matrix operations. We are able to spot the most likely discussed chapters and topic words for each frame. We evaluate the overall approach on 12 videos of two courses, and the results are encouraging.