Feature selection based-on genetic algorithm for CBIR

Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008

Volumn 2, Issue , 2008, Pages 495-499

  Zhao, Tianzhong ^a,b   Lu, Jianjiang ^a   Zhang, Yafei ^a   Xiao, Qi ^a  

^a PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b PLA   (China)

Author keywords

Feature selection; Genetic algorithm; Image retrieval; k nearest neighbor classifier; Multimedia content description interface

Indexed keywords

ALGORITHMS; BIOELECTRIC PHENOMENA; CLASSIFICATION (OF INFORMATION); CONTENT BASED RETRIEVAL; DIESEL ENGINES; FUNCTION EVALUATION; GENETIC ALGORITHMS; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; INFORMATION SCIENCE; MOTION PICTURE EXPERTS GROUP STANDARDS; OPTIMIZATION; SIGNAL PROCESSING;

AUTOMATED TECHNIQUES; CLASSIFICATION ACCURACIES; COLOR DESCRIPTORS; CONTENT BASED IMAGE RETRIEVAL SYSTEM; DESCRIPTOR; FEATURE SELECTION; FITNESS FUNCTIONS; GENETIC ALGORITHM; GENETIC ALGORITHM (GA); IMAGE FEATURES; IMAGE RETRIEVAL SYSTEMS; INTERNATIONAL CONGRESSES; K-NEAREST NEIGHBOR; K-NEAREST NEIGHBOR CLASSIFIER; K-NN CLASSIFICATION; LOW-LEVEL IMAGE FEATURES; MULTIMEDIA CONTENT DESCRIPTION INTERFACE; REAL-CODED GA; SHAPE DESCRIPTORS; SUBSET SELECTION; TEXTURE DESCRIPTORS; TWO STAGES; WEIGHT OPTIMIZATION;

IMAGE RETRIEVAL;

EID: 52049091865     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2008.90     Document Type: Conference Paper

References (15)

1. R. Datta, D. Joshi, and J. Wang, "Image retrieval: Ideas, influences, and trends of the new age", ACM transactions on computing surveys, 2007.
2. S.T. Li, J.S. Taylor, "Comparison and fusion of multiresolution features for texture classification", Pattern Recognition Letters, 2005, 26, 633-638.
3. B.S. Manjunath, J.R. Ohm, V.V. Vasudevan, and et al, "Color and texture descriptors", IEEE Transactions on Circuits and Systems for Video Technology, 2001, 11, 703-715.
4. R. Manthalkar, P.K. Biswas, and B.N Chatterji, "Rotation and scale invariant texture features using discrete wavelet packet transform", Pattern Recognition Letters, 2003, 24 (14), 2455-2462.
5. ISO/IEC/JTC1/SC29/WG11/N4062. 2001b, "Text of ISO/IEC 15938-3 multimedia content description interface part 3: visual", ISO/IEC, 2001.
6. H. Shao, J.W. Zhang, W.C. Cui, and et al, "Automatic feature weight assignment based on genetic algorithm for image retrieval", Proceedings of the 2003 IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, China, 2003, 731-735.
7. M.E. Celebi, YA. Aslandogan, "Content-based image retrieval incorporating models of human perception", Proceedings of the International Conference on Information Technology: Coding and Computing, 2004, 241-245.
8. W. Jiang, G.H. Er, Q.H. Dai, and et al, "Similarity-based online feature selection in content-based image retrieval", Transactions on Image Processing, 2006, 15(3), 702-712.
9. B. Hernández, G. Olague, R. Hammoud, and et al, "Visual learning of texture descriptors for facial expression recognition in thermal imagery", Computer Vision and Image Understanding, 2007, 106(2-3): 258-269.
10. M. Bober, "MPEG-7 visual shape descriptor", IEEE Transactions on Circuits and Systems for Video Technology, 2001, 11, 716-719.
11. ISO/IEC/JTC1/SC29/WG11, Doc. N4063, "MPEG-7 visual experimentation model (XM), Version 10.0", ISO/IEC, Mar. 2001.
12. J.C. Felipe, J.B. Olioti, A.J.M. Traina, and et al, "A low-cost approach for effective shape-based retrieval and classification of medical images", Proceedings of the Seventh IEEE International Symposium on Multimedia, 2005.
13. B. Bhanu, Y.Q. Lin, "Genetic algorithm based feature selection for target detection in SAR images", Image and Vision Computing, 2003, 21(7), 591-608.
14. I.S. Oh, J.S. Lee, and B.R. Moon, "Hybrid genetic algorithms for feature selection", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(11), 1424-1437.
15. G. Das, S. Ray, and C. Wilson, "Feature re-weighting in content-based image retrieval", Proceedings of International Conference on Image and Video Retrieval, 2006, 193-200.