Title :
Intelligent content-based retrieval
Author :
Djeraba, Chabane ; Mohamed, Cherif El Asri
Author_Institution :
IRIN, Nantes Univ., France
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;
Conference_Titel :
Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-0909-6
DOI :
10.1109/TAI.2000.889880
