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ABSTRACT
An essential goal of structuring lecture videos captured in live presentation is to provide a synchronized view of video clips and electronic slides. This paper presents an automatic approach to match video clips and slides based on the analysis of text embedded in lecture videos. We describe a method to reconstruct high-resolution video texts from multiple keyframes for robust OCR recognition. A two-stage matching algorithm based on the title and content similarity measures between video clips and slides is also proposed.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 2
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Quanfu Fan , Kobus Barnard , Arnon Amir , Alon Efrat , Ming Lin, Matching slides to presentation videos using SIFT and scene background matching, Proceedings of the 8th ACM international workshop on Multimedia information retrieval, October 26-27, 2006, Santa Barbara, California, USA
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Cha Zhang , Yong Rui , Jim Crawford , Li-Wei He, An automated end-to-end lecture capture and broadcasting system, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), v.4 n.1, p.1-23, January 2008
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