TY - GEN
T1 - Intelligent home video management system
AU - Huang, Szu-Hao
AU - Wu, Qi-Jiunn
AU - Chang, Kai-Yeuh
AU - Lin, Hsin-Cheang
AU - Lai, Shang-Hong
AU - Wang, Wen-Hao
AU - Tsai, Yu-Sheng
AU - Chen, Chia-Lun
AU - Chen, Guan-Rong
PY - 2005
Y1 - 2005
N2 - An integrated intelligent home video management system was proposed in this paper. Five different types of multimedia representative features were computed as the basis of the home video management system. With the aid of some machine learning techniques, such as SVM, neural network, adaboost algorithm, and the K-means clustering algorithm, we develop six main applications based on this system. These applications include detection of abnormal camera operation, shot boundary detection, fast-pan detection, face shot identification, key-frame extraction, and variable length video abstraction. Our system can help inexpert digital camcorder users manage their home video effectively in a smart way. © 2005 IEEE.
AB - An integrated intelligent home video management system was proposed in this paper. Five different types of multimedia representative features were computed as the basis of the home video management system. With the aid of some machine learning techniques, such as SVM, neural network, adaboost algorithm, and the K-means clustering algorithm, we develop six main applications based on this system. These applications include detection of abnormal camera operation, shot boundary detection, fast-pan detection, face shot identification, key-frame extraction, and variable length video abstraction. Our system can help inexpert digital camcorder users manage their home video effectively in a smart way. © 2005 IEEE.
KW - Abnormal camcorder shooting detection
KW - Face shot identification
KW - Fast-pan elimination
KW - Home Video Management System
KW - Key frame extraction
KW - Shot boundary detection
KW - Variable length video abstraction
UR - https://www.scopus.com/pages/publications/33745726036
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33745726036&origin=recordpage
U2 - 10.1109/ITRE.2005.1503094
DO - 10.1109/ITRE.2005.1503094
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780389328
SN - 9780780389328
VL - 2005
SP - 176
EP - 180
BT - ITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Proceedings
T2 - ITRE 2005 - 3rd International Conference on Information Technology: Research and Education
Y2 - 27 June 2005 through 30 June 2005
ER -