TY - GEN
T1 - Gesture tracking and recognition for lecture video editing
AU - Wang, Feng
AU - Ngo, Chong-Wah
AU - Pong, Ting-Chuen
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=10044281969&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-10044281969&origin=recordpage
U2 - 10.1109/ICPR.2004.1334682
DO - 10.1109/ICPR.2004.1334682
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 769521282
VL - 3
SP - 934
EP - 937
BT - Proceedings - International Conference on Pattern Recognition
T2 - Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Y2 - 23 August 2004 through 26 August 2004
ER -