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