Gesture tracking and recognition for lecture video editing

This paper presents a gesture based driven approach for video editing. Given a lecture video, we adopt novel approaches to automatically detect and synchronize its content with electronic slides. The gestures in each synchronized topic (or shot) are then tracked and recognized continuously. By regis...

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Bibliographic Details
Main Authors: WANG, Feng, NGO, Chong-wah, PONG, Ting-Chuen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/6561
https://ink.library.smu.edu.sg/context/sis_research/article/7564/viewcontent/icpr04_a.pdf
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Institution: Singapore Management University
Language: English
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