Augmented segmentation and visualization for presentation videos
Proceedings of the 13th annual ACM international conference on Multimedia
VAST MM: multimedia browser for presentation video
Proceedings of the 6th ACM international conference on Image and video retrieval
Evaluation of video browser features and user interaction with VAST MM
MM '08 Proceedings of the 16th ACM international conference on Multimedia
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We present a new method for segmenting, and a new user interface for indexing and visualizing, the semantic content of extended instructional videos. Using various visual filters, key frames are first assigned a media type (board, class, computer, illustration, podium, and sheet). Key frames of media type board and sheet are then clustered based on contents via an algorithm with near-linear cost. A novel user interface, the result of two user studies, displays related topics using icons linked topologically, allowing users to quickly locate semantically related portions of the video. We analyze the accuracy of the segmentation tool on 17 instructional videos, each of which is from 75 to 150 minutes in duration (a total of 40 hours); it exceeds 96%.