An efficient memorization scheme for relevance feedback in image retrieval

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn 1, Issue , 2003, Pages I313-I316

  Zhang, Lei ^a   Qian, Fang ^b   Li, Mingjing ^a   Zhang, Hong Jiang ^a  

^a MICROSOFT RESEARCH ASIA   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDBACK; QUERY PROCESSING; SCALABILITY;

IDENTIFICATION NUMBER; IMAGE DATABASE; RELEVANCE FEEDBACK; SEARCH SESSIONS; STORAGE SPACES;

IMAGE RETRIEVAL;

EID: 84899294924     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2003.1220917     Document Type: Conference Paper

References (14)

1. Bartolini, L, Ciaccia, P., Waas, F., "Feedback Bypass: A New Approach to Interactive Similarity Query Processing", in Proc. the 27th VLDB conference, 2001, 201-210.
2. Chang E. and Li B "MEGA - The Maximizing Expected Generalization Algorithm for Learning Complex Query Concepts", UCSB Technical Report, February, 2001,.
3. Chen, Y., Zhou, X.S., Huang, T. S., "One-class SVM for Learning in Image Retrieval", in Proc. IEEE International Conference on Image Processing, October, 2001.
4. Cox, I.J. et al, "the Bayesian Image Retrieval System, Pic Hunter: Theory, Implementation and Psychophysical Experiments", IEEE Transactions on Image Processing, Volume 9, Issue 1, Jan. 2000.
5. Ishikawa, Y., Subramanya, R. et al, "Mindreader: Query Databases Through Multiple Examples, " In Proc. the 24th VLDB Conference, 1998, 218-227.
6. Lee, C.S., Ma, W.Y., and Zhang, H.J., "Information Embedding Based on User's Relevance Feedback for Image Retrieval", inviled paper, HP IF. Symposium on Voice, Video and Data Communications, 1999.
7. Li, M.J, Chen, Z., et al, "A Statistical Correlation Model for Image Retrieval", in Proc. Intl Workshop on Multimedia Information Retrieval (MIR2001), October, 2001.
8. Lu, Y., Hu, C et al, "A Unified Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval Systems", in Proc. ACM Multimedia, 2000.
9. Rui, Y., Huang, T., "A novel relevance feedback technique in image retrieval", In Proc. ACM Multimedia, 1999.
10. Su, Z., Zhang, H.J., Ma, S.P., "Relevant feedback using a Bayesian Classifier in Content-Based Image Retrieval", in Proc. SPIE Storage and Retrieval for Media Databases, Janurary 2001.
11. Tong S. and Chang E "Support Vector Machine Active Learning for Image Retrieval", in Proc. ACM Multimedia, 2001.
12. Zhang, H.J. et al, "iFind - A System for Semantics and Feature Based Image Retrieval over Internet", in Proc. ACM Multimedia, 2000.
13. Zhang, L., Lin, F.Z., Zhang, B. "Support Vector Machine Learning for Image Retrieval", in Proc. IEEE International Conference on Image Processing, October, 2001.
14. Zhou, X-S., Huang, T. S., "Bias Map for Small Sample Learning during Multimedia Retrieval", in Proc. IEEE CVPR, Dec. 2001.