A DLSI approach for content-based image classification

2004 IEEE International Conference on Computational Intelligence for Measurements Systems and Applications, CIMSA

Volumn , Issue , 2004, Pages 138-143

  Nilufar, Sharmin ^a   Chen, Liang ^a   Kwan, H K ^b  

^a UNIVERSITY OF NORTHERN BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Content based image classification; Differential feature image matrix; Differential latent semantic index space; Image indexing

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; DIFFERENTIATION (CALCULUS); FUNCTIONS; INDEXING (OF INFORMATION); MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBLEM SOLVING; SEMANTICS; VECTORS;

CONTENT BASED IMAGE CLASSIFICATION; DIFFERENTIAL FEATURE IMAGE INDEXING; DIFFERENTIAL LATENT SEMANTIC INDEX (DLSI) SPACE; HIDDEN MARKOV MODEL (HMM); IMAGE INDEXING;

CONTENT BASED RETRIEVAL;

EID: 16244367742     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. J. Huang, S. R. Kumar, R. Zabih, "An automatic hierarchical image classification scheme", Proc. of 6th ACM Intl. Multimedia Conf., pp 219-228, 1998
2. S. B. Park, J. W. Lee, and S. K. Kim, "Content based image classification using a neural network", Pattern Recognition Letters, vol. 25, no. 3, pp. 287-300, 2004.
3. J. Li, A. Najmi, and R. M. Gray, "Image Classification by the Two Dimensional Hidden Markov Model", IEEE Trans. Signal Processing, vol.48, no.2, pp. 517-533, 2000.
4. L. Chen, N. Tokuda, and A. Nagai, "Probabilistic Information Retrieval Method Based on Differential Latent Semantic Index Space ", IEICE Trans. on Information and Systems, E84-D, no. 7, pp. 910-914, 2001.
5. L. Chen, N. Tokuda, and A. Nagai, "A New Differential LSI Space-Based Probabilistic Document Classifier", Inform. Process. Lett., vol. 88, no. 5, pp. 203-212, 2003.
6. S. Deerwester, S. Dumais, G. Furnas, T. Landauer, R. Harshman, "Indexing by latent semantic analysis", Journal of the American Society for Information Science, vol 41, no.6, pp. 391-407, 1990.
7. M. W. Berry and R. D. Fierro,"Low-Rank Orthogonal Decompositions for Information Retrieval Applications", Numerical Linear Algebra with Applications, no.4, pp 301-328, 1996.
8. J. Jiang, M. W. Berry, J. M. Donato, and G.Ostrouchov, "Mining Consumer Product Data Via Latent Semantic Indexing", Intelligent Data Analysis vol. 3, no. 5, pp. 377-398, November 1999.
9. Z. Pecenovic,"Intelligent Image Retrieval using Latent Semantic Indexing", Master's thesis, Swiss Federal Institute of Technology, Lausanne, Vaud, April, 1997.
10. Douglas R. Heisterkamp, "Building a Latent Semantic Index of an Image Database from Patterns of Relevance Feedback", Proceedings of 16th International conference on Pattern Recognition, Quebec City, Canada, IEEE Computer Society Press, Vol 4, pp. 132-135, 2002.
11. R. Zhao and W. I. Grosky, "Negotiating the semantic gap: from feature maps to semantic landscapes", Pattern Recognition, vol 35 pp. 593-600, 2002.
12. Q. Iqbal and J. K. Aggarwal, "CIRES: A System for Content-Based Retrieval in Digital Image Libraries", Proc. of 7th International Conf.on Control, Automation, Robotics and Vision, Dec. 2002, Singapore.
13. J. Li and J. Wang, "Automatic linguistic indexing of pictures by a statistical modeling approach", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1075-1088, 2003.