A novel framework for SVM-based image retrieval on large databases

Proceedings of the 13th ACM International Conference on Multimedia, MM 2005

Volumn , Issue , 2005, Pages 487-490

  Wang, Lei ^a,b   Li, Xuchun ^a   Xue, Ping ^a   Chan, Kap Luk ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Content Based Image Retrieval; Large Databases; Relevance Feedback; Support Vector Machines

Indexed keywords

CONTENT BASED IMAGE RETRIEVAL; EFFECTIVENESS AND EFFICIENCIES; KERNEL FUNCTION; LARGE DATABASE; LARGE IMAGE DATABASE; RELEVANCE FEEDBACK; RETRIEVAL PERFORMANCE; SHORT RESPONSE TIME;

CONTENT BASED RETRIEVAL; DATABASE SYSTEMS;

SUPPORT VECTOR MACHINES;

EID: 50249182602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1101149.1101258     Document Type: Conference Paper

References (9)

1. http://vision.ece.ucsb.edu/datasets/.
2. A. Dong and B. Bhanu. A New Semi-supervised EM Algorithm for Image Retrieval. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2003.
3. G. Guo, A. K. Jain, W.-Y. Ma, and H. Zhang. Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback. IEEE Transactions on Neural Networks, 13(4):811-820, 2002.
4. C.-H. Hoi and M. R. Lyu. A novel log-based relevance feedback technique in content-based image retrieval. In Proceedings of the 12th annual ACM international co nference on Multimedia, pages 24-31, 2004.
5. J. Kivinen, A. J. Smola, and R. C. Williamson. Online learning with kernels. IEEE Transactions on Signal Processing, 52(8):2165-2176, Aug 2004.
6. N. Panda, K. Goh, and E. Y. Chang. Active Learning in Very Large Image Databases. Journal of Multimedia Tools and Applications Special Issue on Computer Vision Meets Databases (Accepted).
7. J. Peng and D. R. Heisterkamp. Kernel Indexing for Relevance Feedback Image Retrieval. P roceedin gs of International Conference on Image Processing, 2003.
8. S. Tong and E. Chang. Support Vector Machine Active Learning for Image Retrieval. Proceedings of ACM International Conference on Multimedia, pages 107-118, Ottawa, Canada, Oct, 2001.
9. L. Wang, P. Xue, and K. L. Chan. Incorporating Prior Knowledge into SVM for Image Retrieval. Proceedings of International Conference on Pattern Recognition (ICPR), UK, 2004.