Intelligent content-based retrieval

Author

Djeraba, Chabane ; Mohamed, Cherif El Asri

Author_Institution

IRIN, Nantes Univ., France

fYear

2000

fDate

2000

Firstpage

262

Lastpage

265

Abstract

This paper deals with the challenge of extending classical image retrieval by including visual rules. The visual rules are extracted automatically from classes of images. They contribute to making the retrieval process more accurate. The visual-rules extraction is based on symbolic representations of image descriptors. The symbolic representations are the results of color and texture clustering

Keywords

content-based retrieval; image classification; image colour analysis; image representation; image retrieval; image texture; knowledge based systems; pattern clustering; accuracy; advanced retrieval; colour clustering; image classes; image descriptors; image retrieval; intelligent content-based retrieval; knowledge discovery; symbolic representations; texture clustering; visual features; visual rules extraction; Aircraft; Animals; Birds; Books; Clustering algorithms; Content based retrieval; Data mining; Histograms; Image retrieval; Iterative algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on

Conference_Location

Vancouver, BC

ISSN

1082-3409

Print_ISBN

0-7695-0909-6

Type

conf

DOI

10.1109/TAI.2000.889880

Filename

889880

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2705254