DocumentCode :
2252995
Title :
Face image retrieval method using extended C4.5
Author :
Endoh, Satoshi ; Yamada, Koji ; Ohuchi, Azuma ; Oda, Masaomi
Author_Institution :
Dept. of Inf. Eng., Ryukyus Univ., Okinawa, Japan
Volume :
3
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
2989
Abstract :
Facial image retrieval problem is one of the typical example of information processing based on sensibility. The main reason is that the image retrieval problem has some difficulties about ambiguities of retrieval targets and non-determinateness of effective search-key. We propose a facial image retrieval system with the extended C4.5 algorithm as a retrieval mechanism. Some computer simulations are designed to investigate the performance of our system. The results of simulations represent that the our system shows good performance for the facial image retrieval problem
Keywords :
face recognition; inference mechanisms; information retrieval; learning (artificial intelligence); visual databases; ambiguities; extended C4.5 algorithm; face image retrieval method; nondeterminateness; sensibility; Artificial intelligence; Classification tree analysis; Computational modeling; Computer simulation; Data structures; Decision trees; Image databases; Image retrieval; Information retrieval; Nose;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.635458
Filename :
635458
Link To Document :
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