A new region filtering and region weighting approach to relevance feedback in content-based image retrieval

Journal of Systems and Software

Volumn 81, Issue 9, 2008, Pages 1525-1538

  Kim, Deok Hwan ^a   Yu, Seung Hoon ^a  

^a Inha University   (South Korea)

Author keywords

Hierarchical clustering; Image segmentation; Region filtering; Region weighting; Relevance feedback

Indexed keywords

CONTENT BASED RETRIEVAL; CONTROL THEORY; FEEDBACK; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; INFORMATION RETRIEVAL; INFORMATION THEORY; MILITARY DATA PROCESSING; SEMANTICS;

CONTENT-BASED IMAGE RETRIEVAL (BCIR); FEATURE SPACES; IMAGE FREQUENCY; LOW-LEVEL FEATURES; PERCENTAGE METHOD; QUERY IMAGES; REGION FILTERING; REGION IMPORTANCE; REGION SIZE; REGION-BASED RETRIEVAL; RELEVANCE FEEDBACK (RRF); SEMANTIC GAPS; SPATIAL LOCATIONS; WEIGHTING METHODS;

GALLIUM ALLOYS;

EID: 47549117541     PISSN: 01641212     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jss.2007.10.006     Document Type: Article

References (22)

1. Barnard K., and Shirahatti N.V. A method for comparing content based image retrieval methods. Internet Imaging IX, Electronic Imaging (2003)
2. Carson, Thomas, M., Belongie, S., Hellerstein, J., Malik, J., 1999. Blobworld a system for region-based image indexing and retrieval. In: Proceedings of 3rd International Conference on Visual Information Systems.
3. Greenspan, H., Dvir, D., Rubner, Y., 2000. Region correspondence for image matching via EMD flow. In: IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00), vol. 27.
4. Hua, K.A., Yu, N., Liu, D., 2006. Query decomposition: a multiple neighborhood approach to relevance feedback processing in content-based image retrieval. In: Proceedings of 22nd International Conference on Data Engineering (ICDE'06).
5. Hotelling H. Multivariate Quality Control. In: Eisenhart C., Hastay M.W., and Wallis W.A. (Eds). Techniques of Statistical Analysis (1947), McGraw-Hill, N.Y
6. Hammersley J.M., and Handscomb C. Monte Carlo Methods (1964), Chapman and Hall, London & New York
7. Ishikawa, Y., Subramanya, R., Faloutsos, C., 1998. MindReader: Querying databases through multiple examples. In: Proceedings of the 24th VLDB Conference, New York, USA, pp. 218-227.
8. Jing, F., Li, M., Zhang, H.J., Zhang, B., 2002. Region-based relevance feedback in image retrieval. In: Proceedings of IEEE International Symposium Circuits and Systems, vol. 4.
9. Jing, F., Li, M., Zhang, H.J., Zhang, B., 2003. Learning region weighting from relevance feedback in image retrieval. In: Proceedings of IEEE Intl. Conference on Acoustics, Speech, and Signal Processing (ICASSP'02). vol. 4, pp. 4088-4091.
10. Jing F., Li M., Zhang H.J., and Zhang B. An efficient and effective region-based image retrieval framework. IEEE Transactions on Image Processing 13 5 (2004) 699-709 May
11. Kim D.-H., Chung C.-W., and Barnard K. Relevance feedback using adaptive clustering for image similarity retrieval. The Journal of Systems and Software 78 (2005) 9-23
12. Lu Y., Zhang H.J., Wenyin L., and Hu C. Joint semantics and feature based image retrieval using relevance feedback. IEEE Transactions on Multimedia 5 3 (2003) 339-347 September
13. Natsev, A., Rastogu, R., Shim, K., 1999. WARLUS: A similarity retrieval algorithm for image databases, In: Proceedings of SIGMOD'99, Philadelphia, PA, pp. 395-406.
14. Porkaew, K., Chakrabarti, K., 1999. Query refinement for multimedia similarity retrieval in MARS. In: Proceedings of the 7th ACM Multimedia Conference, Orlando, Florida, pp. 235-238.
15. Rui, Y., Huang, T., Mehrotra, S., 1997. Content-based image retrieval with relevance feedback in MARS. In: Proceedings of IEEE International Conference on Image Processing'97, Santa Barbara, CA, October 1997.
16. Rubner, Y., Tomasi, C., Guibas, L.J., 1998. A metric for distributions with applications to image databases. In: Proceedings of the IEEE Internional Conference on Computer Vision, pp. 59-66.
17. Shi J., and Malik J. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 8 (2000) 888-905 August
18. Vasconcelos, N., Lippman, A., 2000. Bayesian relevance feedback for content-based image retrieval. In: IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00).
19. Wang J.Z., Li J., and Wiederhold G. SIMPLIcity: semantics-sensitive integrated matching for picture libraries. IEEE Transactions on Pattern Analysis and Machine Intelligence 23 9 (2001) 947-963
20. Wood, M.E., et al., 1998. Iterative refinement by relevance feedback in content based digital image retrieval. In: Proceedings of International Conference on ACM Multimedia.
21. Zhu, W., Liu, Y., Zhang, H.J., Wu, L.D., 2001. An image retrieval and semi-automatic annotation scheme for large image databases on the Web. SPIE Photonics West 4311 Electronic Imaging.
22. Zhou, Z.H., Zhang, M.L., Chen, K.J., 2003. A novel bag generator for image database retrieval with multi-instance learning. In: Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence, pp. 565-569.