TY - GEN
T1 - SVM-based decision fusion model for detecting concepts in films
AU - Muneesawang, P.
AU - Guan, L.
PY - 2007
Y1 - 2007
N2 - This paper studies a support vector machine (SVM) to obtain a decision fusion algorithm for detection of semantic concepts in videos, and its application to Films database. Given a movie clip, its spatio-temporal information is captured by audiovisual features. These are then independently inputted to the corresponding matching experts whose outputs are fused at the decision stage by the SVM classifier. Based on our simulation results, this fusion method can attain very high recognition accuracy for detection of various concepts from a collection of Hollywood movies. It requires a very small set of training samples from a large database.
AB - This paper studies a support vector machine (SVM) to obtain a decision fusion algorithm for detection of semantic concepts in videos, and its application to Films database. Given a movie clip, its spatio-temporal information is captured by audiovisual features. These are then independently inputted to the corresponding matching experts whose outputs are fused at the decision stage by the SVM classifier. Based on our simulation results, this fusion method can attain very high recognition accuracy for detection of various concepts from a collection of Hollywood movies. It requires a very small set of training samples from a large database.
KW - Audiovisual indexing
KW - Movie retrieval
KW - SVM decision fusion
KW - Semantic concept detection
UR - https://www.scopus.com/pages/publications/50449085589
U2 - 10.1109/ICICS.2007.4449866
DO - 10.1109/ICICS.2007.4449866
M3 - Conference contribution
AN - SCOPUS:50449085589
SN - 1424409837
SN - 9781424409839
T3 - 2007 6th International Conference on Information, Communications and Signal Processing, ICICS
BT - 2007 6th International Conference on Information, Communications and Signal Processing, ICICS
T2 - 2007 6th International Conference on Information, Communications and Signal Processing, ICICS
Y2 - 10 December 2007 through 13 December 2007
ER -