Publication Type
Conference Proceeding Article
Publication Date
8-2004
Abstract
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 registering shots and slides and recovering their transformation, the regions where the gestures take place can be known. Based on the recognized gestures and their registered positions, the information in slides can be seamlessly extracted, not only to assist video editing, but also to enhance the quality of original lecture video.
Discipline
Databases and Information Systems | Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, UK, 2004 August 23-26
Volume
3
First Page
934
Last Page
937
ISBN
0769521282
Identifier
10.1109/ICPR.2004.1334682
Publisher
IEEE
City or Country
Cambridge
Citation
WANG, Feng; NGO, Chong-wah; and PONG, Ting-Chuen.
Gesture tracking and recognition for lecture video editing. (2004). Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, UK, 2004 August 23-26. 3, 934-937.
Available at: https://ink.library.smu.edu.sg/sis_research/6561
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
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