Publication | Closed Access
NoteVideo
30
Citations
22
References
2013
Year
Unknown Venue
Khan AcademyImage AnalysisMachine VisionInformation RetrievalEngineeringEye TrackingVideo RetrievalVideo SummarizationInstructional VideoVideo Content AnalysisComputer ScienceVideo UnderstandingPresent NotevideoArtsBlackboard-style Lecture VideoComputer Vision
Khan Academy's pre-recorded blackboard-style lecture videos attract millions of online users every month. However, current video navigation tools do not adequately support the kinds of goals that students typically have, like quickly finding a particular concept in a blackboard-style lecture video. We present NoteVideo and its improved version, NoteVideo+. The system starts by analyzing and identifying the conceptual 'objects' of a blackboard-style lecture video. It then creates a summarized image of the video and uses it as an in-scene navigation interface for the user to interact with. This allows users to directly jump to the video frame where that object first appeared and be discussed instead of navigating it linearly through time.
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