A parallel architecture for feature extraction in content-based image retrieval system

2004 IEEE Conference on Cybernetics and Intelligent Systems

Volumn , Issue , 2004, Pages 468-473

  Chung, Kien Ping ^a   Li, Jia Bin ^a   Fung, Chun Che ^a   Wong, Kok Wai ^b  

^a MURDOCH UNIVERSITY   (Australia)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN OPERATORS; INDEXING STRUCTURE; PARALLEL ARCHITECTURE; VISUAL FEATURES;

COMPUTATIONAL METHODS; COMPUTER ARCHITECTURE; COMPUTER SOFTWARE; DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; INDEXING (OF INFORMATION); SEMANTICS;

CONTENT BASED RETRIEVAL;

EID: 11244278112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Y. Rui, T. S. Huang, and S.-F. Chang, "Image Retrieval: Current Techniques, Promising Directions, and Open Issues," Journal of Visual Communication and Image Representation, vol. 10, pp. 39-62, 1999.
2. A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jai, "Content-Based Image Retrieval at the End of the Early Years," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22(12), pp. 1349-1380, 2000.
3. Y. Lu, X. Zhu, H. J. Zhang, and Q. Yang, "A Unified Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval Systems," presented at Proceedings of the 8th ACM International Conference on Multimedia, Marina del Rey, Calfornia, United State, 2000.
4. Y. Rui, T. S. Huang, and S. Mehrotra, "Content-Based Image Retrieval with Relevance Feedback in MARS," presented at International Conference on Image Processing, Washington, DC, 1997.
5. Y. Ishikawa, R. Subramanya, and C. Faloutsos, "MindReader: Querying Database through Multiple Examples," presented at 24th International Conference on Very Large Databases, New York City, NY, 1998.
6. Z. Su, S. Li, and H. J. Zhang, "Extraction of Feature Subspaces for Content-Based Retrieval using Relevance Feedback," presented at Proceedings of 9th ACM International Multimedia Conference, Ottawa, Canada, 2001.
7. I. J. Cox, M. L. Miller, T. P. Minka, T. V. Papathomas, and P. N. Yianilos, "The Bayesian Image Retrieval System, PicHunter: Theory, Implementation, and Psychophysical Experiments," IEEE Transactions on Image Processing, vol. 9, pp. 20-37, 2000.
8. H. Muller, A. Rosset, J.-P, Vallee, and A. Geissbuhler, "Comparing Feature Sets for Content-based Image Retrieval in a Medical Case Database," presented at SPIE Medical Imaging, San Diego, CA, USA, 2004.
9. H. Muller, W. Muller, S. Marchand-Maillet, and T. Pun, "Strategies for Positive and Negative Relevance Feedback in Image Retrieval," presented at Proceedings of IEEE Internet Conference on Pattern Recognition, 2000.