DocumentCode
2755011
Title
Chaotic associative memory using internal patterns for image retrieval by color and shape information
Author
KOSUGE, Satoshi ; Osana, Yuko
Author_Institution
Tokyo Univ. of Technol., Japan
Volume
5
fYear
2005
fDate
31 July-4 Aug. 2005
Firstpage
3318
Abstract
In this paper, we propose a chaotic associative memory using internal patterns for image retrieval (CAMIP-IR) by color and shape information. This model is based on the chaotic associative memory which can realize dynamic associations and the self-organizing map. In the proposed model, the similarity-based image retrieval can be realized using color and shape information.
Keywords
chaos; content-addressable storage; image retrieval; self-organising feature maps; chaotic associative memory; color information; image retrieval; self-organizing map; shape information; Artificial intelligence; Associative memory; Biological neural networks; Chaos; Humans; Image retrieval; Information retrieval; Neural networks; Neurons; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN
0-7803-9048-2
Type
conf
DOI
10.1109/IJCNN.2005.1556460
Filename
1556460
Link To Document