Teaching and learning as multimedia authoring: the classroom 2000 project
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Passive capture and structuring of lectures
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Automated Alignment and Annotation of Audio-Visual Presentations
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Synchronization of lecture videos and electronic slides by video text analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Matching slides to presentation videos using SIFT and scene background matching
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
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Many presentations consisting of video, audio and slides are being recorded for wider dissemination purposes. Video slide alignment is necessary for efficient review and hence has attracted much attention. However, the recorded video style varies greatly because of different capturing systems, and most existing alignment approaches deal with one of the video styles. In this paper, a more general approach is proposed to make the alignment be applicable to all major video styles. We mainly combine the SIFT (scale invariant feature transform) keypoints and color features to match between video and electronic slides for alignment, and use texture features as a complement. The approach improves the alignment performance, and is able to handle many kinds of video.