Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-10467-1_27
Title: Robust alignment of presentation videos with slides
Authors: Wang, X.
Kankanhalli, M. 
Keywords: Color features
SIFT features
Texture
Video slide alignment
Issue Date: 2009
Source: Wang, X.,Kankanhalli, M. (2009). Robust alignment of presentation videos with slides. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5879 LNCS : 311-322. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-10467-1_27
Abstract: 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. © 2009 Springer-Verlag Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41371
ISBN: 3642104665
ISSN: 03029743
DOI: 10.1007/978-3-642-10467-1_27
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