Establishing semantic relationship in inter-query learning for content-based image retrieval systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4426 LNAI, Issue , 2007, Pages 498-506

  Fung, Chun Che ^a   Chung, Kien Ping ^a  

^a MURDOCH UNIVERSITY   (Australia)

Author keywords

Content based image retrieval system; Inter query learning; Statistical discriminant analysis

Indexed keywords

CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; MATHEMATICAL MODELS; QUERY PROCESSING; STATISTICAL METHODS; SUPPORT VECTOR MACHINES;

FEATURE VECTOR MODELS; INTER QUERY LEARNING; STATISTICAL DISCRIMINANT ANALYSIS;

SEMANTICS;

EID: 38049174598     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71701-0_51     Document Type: Conference Paper

References (10)

1. Chung, K.-P., Wong, K. W., and Fung, C.C., Reducing User Log Size in an Inter-Query Learning Content-Based Image Retrieval (CBIR) System with a Cluster Merging Approach, in International Joint Conference on Neural Networks, Vancouver, Canada, 16-21 July (2006).
2. Zhou, X. S. and Huang, T. S., Relevance Feedback in Image Retrieval: A Comprehensive Review, ACM Multimedia Systems Journal, vol., 8, (2003), 536-544.
3. Dong, A. and Bhanu, B., A New Semi-Supervised EM Algorithm for Image Retrieval, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Wisconsin, United States, June 18-20 (2003).
4. Qian, F., Li, M., Zhang, L., Zhang, H. J., and Zhang, B., Gaussian Mixture Model for Relevance Feedback in Image Retrieval, in Proceedings of IEEE International Conference On Multimedia & Expo, Lausanne, Switzerland, August 26-29 (2002).
5. Zhou, X. S. and Huang, T. S., Small Sample Learning During Multimedia Retrieval using BiasMap, in IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, United States, December (2001).
6. Zhou, X. S. and Huang, T. S., Edge-based Structural Features for Content-based Image Retrieval, Pattern Recognition Letters, vol., 22, (2001), 457-468.
7. Pass, G., Zabih, R., and Miller, J., Comparing Images Using Color Coherence Vectors, in The 4th ACM International Conference on Multimedia, Boston, Massachusetts, United States, November 18-22 (1997).
8. Park, D. K., Jeon, Y. S., and Won, C. S., Efficient Use of Local Edge Histogram Descriptor, in Proceedings of the 2000 ACM workshops on Multimedia, Los Angles, Calfornia, United States (2000).
9. Stricker, M. and Orengo, M., Similarity of Color Images, in Storage and Retrieval for Image and Video Databases III, San Diego/La Jolla, CA, USA, February 5-10 (1995).
10. Wang, L., Chan, K. L., and Xue, P., A Criterion for Optimizing Kernel Parameters in KBDA for Image Retrieval, IEEE Transactions on Systems, Man, and Cybernetics, vol., 35, (2005), 556-562.