Analysis and Interface for Instructional Video

dc.creatorHaubold, Alexander
dc.creatorKender, John R.
dc.date2003-02-16
dc.date2003-08-30
dc.date.accessioned2026-07-07T03:19:28Z
dc.date.available2026-07-07T03:19:28Z
dc.descriptionWe 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%.
dc.description4 pages, 8 figures, ICME 2003
dc.identifierhttps://arxiv.org/abs/cs/0302024
dc.identifierhttp://arxiv.org/abs/cs/0302024
dc.identifierProceedings of 2003 IEEE International Conference on Multimedia & Expo, Volume II, pages 705-708, July 2003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31471
dc.subjectInformation Retrieval
dc.subjectComputer Vision and Pattern Recognition
dc.subjectH.3.1;H.3.3;I.4.8;I.5.3
dc.titleAnalysis and Interface for Instructional Video
dc.typetext

Files

Collections