Design, implementation and evaluation of CONBA (a CONceptual-BAsed image retrieval system)

Author

Seo, Meenhyung ; Jeon, Sanghyun ; Park, Changchoon

Author_Institution

Dept. of Comput. Eng., Konkuk Univ., Seoul, South Korea

Volume

1

fYear

1999

fDate

1999

Firstpage

654

Abstract

CONceptual-BAsed image retrieval system (CONBA) supports the object recognition and retrieval based on object modeling and machine learning. The system, being independent of a domain, has an advantage in that the probability of the image recognition and the retrieval would be improved on the basis of a continuous learning theory of the image object. This system also includes a design for supporting a conceptual object on the basis of the set-based theory to extract the conceptual object and support it in user´s enquires

Keywords

image recognition; image retrieval; learning (artificial intelligence); object recognition; CONBA; CONceptual-BAsed image retrieval system; conceptual object; continuous learning theory; image recognition; machine learning; object modeling; object recognition; set-based theory; Content based retrieval; Design engineering; Electronic commerce; Image databases; Image recognition; Image retrieval; Information retrieval; Machine learning; Object recognition; Software libraries;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818499

Filename

818499