A hybird image retrieval system with user's relevance feedback using neurocomputing

Informatica (Ljubljana)

Volumn 29, Issue 3, 2005, Pages 271-279

  Wang, Dianhui ^a   Ma, Xiaohang ^a  

^a LA TROBE UNIVERSITY   (Australia)

Author keywords

Image retrieval; Intelligent systems; Neurcomputing; Relevance feedback

Indexed keywords

COSINE TRANSFORMS; DATABASE SYSTEMS; FEATURE EXTRACTION; FEEDBACK; NEURAL NETWORKS; QUERY LANGUAGES; VECTORS;

INTELLIGENT SYSTEMS; LOW-LEVEL FEATURE VECTORS; NEUROCOMPUTING; RELEVANCE FEEDBACK;

IMAGE RETRIEVAL;

EID: 27944446077     PISSN: 03505596     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. B. Y. Ricardo and R. N. Berthier (1999) Modern Information Retrieval, ACM Press, Addison-Wesley.
2. J. Wu (1997) Content-based indexing of multimedia databases, IEEE Trans. On Knowledge and Data Engineering, vol. 6, pp. 978-989.
3. Y. Rui, T. S. Huang, and S. F. Chang (1999) Image retrieval: Current techniques and promising directions and open issues, Journal of Visual Communication and Image Representation, vol. 10, pp. 39-62.
4. F. Crestani and G. Pasi (2000) Soft Computing in Information Retrieval: techniques and applications, Physica Verlag (Springer Verlag).
5. A. Yoshitaka and T. Ichikawa (1999) A survey on content-based retrieval for multimedia databases, IEEE Trans. On Knowledge and Data Engineering, vol. 11, pp. 81-93.
6. S. Santin, and R. Jain (1999) Similarity measures, IEEE Trans. On Pattern Analysis and Machine Intelligence, vol. 21, pp. 871-883.
7. Y. Riu, T. Hunag, M. Ortega, and S. Mehrotra (1998) Relevance feedback: A power tool for interactive content-based image retrieval, IEEE Trans. On Circuit and Systems, for Video Technology, vol. 5, pp. 644-656.
8. X. S. Zhou and T. S. Huang (2002) Relevance feedback in content-based image retrieval: some recent advances, Information Sciences-Applications-An International Journal, vol. 148, pp.129-137.
9. H. Lee and S. Yoo (2001) Intelligent image retrieval using neural network, IEICE Trans. on Information and Systems, vol. 12, pp. 1810-1819.
10. T. Ikeda and M. Hagiwara (2000) Content-based image retrieval system using neural networks, International Journal of Neural Systems, vol. 5, pp. 417-424.
11. J. H. Lim, J. K. Wu, S. Singh, and D. Narasimhalu (2001) Learning similarity matching in multimedia content-based retrieval, IEEE Trans. On Knowledge and Data Engineering, vol. 13, pp. 846-850.
12. G. D. Guo, A. K. Jain, W. Y. Ma, and H. J. Zhang (2002) Learning similarity measure for natural image retrieval with relevance feedback, IEEE Trans. On Neural Networks, vol. 13, pp. 811-820.
13. V. Aditya, A. T. Mario,K. J. Anil, and H. J. Zhang (2001) Image classification for content-based indexing, IEEE Trans. On Image Processing, vol. 10, pp. 117-130.
14. D. Wang and X. Ma (2004) Learning pseudo metric for multimedia data classification and retrieval, Proc. Knowledge-Based Intelligent Information & Engineering Systems, LNAI 3213, vol. 1, pp. 1051-1057.
15. D. E. Rumelhart, G. E. Hinton and R. J. Willianms (1986) Learning representations of back-propagation errors, Nature, vol. 323, pp. 533-536.
16. S. McLoone and G. Irwin (2001) Improving Neural Network Training Solutions Using Regularisation, Neurocomputing, vol. 37, pp. 71-90.