Computational intelligence techniques and their applications in content-based image retrieval

2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings

Volumn 2006, Issue , 2006, Pages 33-36

  Jarrah, Kambiz ^a   Kyan, Matthew ^b   Krishnan, Sri ^a   Guan, Ling ^a  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATABASE SYSTEMS; FEATURE EXTRACTION; GENETIC ALGORITHMS; IMAGING SYSTEMS; OPTIMIZATION; SEARCH ENGINES;

CONTENT-BASED IMAGE RETRIEVAL (CBIR) SYSTEMS; DIRECTED SELF-ORGANIZING TREE MAP (DSOTM); FEATURE WEIGHT DETECTION;

CONTENT BASED RETRIEVAL;

EID: 34247647158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2006.262543     Document Type: Conference Paper

References (5)

1. D.E.Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, New York, 1989.
2. W.R.Smart and M.Zhang, "Classification Strategies for Image Classification in Genetic Algorithm", IEEE Image and Vision Computing NZ, Palmerston North, pp 402-407, November 2003.
3. K.Jarrah, M.Kyan, I.Lee, and L.Guan, "Application of image visual characterization and soft feature selection in Content-Based Image Retrieval", to be appeared in the International Society for Optical Engineering (SPIE), San Jose, California, USA, 2006.
4. P.Muneesawang and L.Guan, "Minimizing user interaction by automatic and semiautomatic relevance feedback for image retrieval", Proc. IEEE Int. Conf. on Image Processing, Rochester, USA, pp. 601-604, vol.2, Sept. 2002.
5. H.S.Kong, The Self-Organizing Tree Map, and its Applications in Digital Image Processing, PhD Thesis, University of Sydney, Australia, 1998.