This is a demo of video shot segmentation, scene segmentation and concept detection developed by CERTH-ITI for the H2020 European Project MOVING (http://moving-project.eu). More specifically, this interactive web interface links lecture videos, using general purpose concepts that were produced from textual analysis of their transcripts, with non-lecture videos, using their visual analysis results such as automatically detected shots, scenes, and visual concepts.
The following notes represent a complete, stand alone interpretation of Stanford's machine learning course presented by Professor Andrew Ng and originally posted on the ml-class.org The topics covered are shown below, although for a more detailed summary see lecture 19. The only content not covered here is the Octave/MATLAB programming. All diagrams are directly taken from the lectures, full credit to Professor Ng for a truly exceptional lecture course. To access this material, follow this link.