Content-based image retrieval using visually significant point features

Fuzzy Sets and Systems

Volumn 160, Issue 23, 2009, Pages 3323-3341

  Banerjee, Minakshi ^a   Kundu, Malay K ^a   Maji, Pradipta ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Color; Content based image retrieval; Fuzzy feature evaluation index; High curvature points; Invariant moments

Indexed keywords

COLOR FEATURES; CONTENT-BASED IMAGE RETRIEVAL; CURVATURE REGIONS; FUZZY ENTROPY; FUZZY FEATURE EVALUATION INDEX; GENERAL PURPOSE; HIGH CURVATURE POINTS; IMAGE DATABASE; INVARIANT MOMENTS; MUTUAL INFORMATIONS; REDUNDANT FEATURES; RELATIVE IMPORTANCE; RETRIEVED IMAGES; SIGNIFICANT POINTS; WEAK TYPES;

COLOR; FUZZY SETS; INFORMATION RETRIEVAL;

CONTENT BASED RETRIEVAL;

EID: 70350571176     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2009.02.024     Document Type: Article

References (42)

1. Smeulders A.W.M., Worring M., Santini S., Gupta A., and Jain R. Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 12 (2000) 1349-1380
2. Bimbo A.D. Visual Information Retrieval (2001), Morgan Kaufmann Publishers, Inc., San Francisco, USA
3. Cheng S.C., Kuo C.T., and Chen H.J. Visual object retrieval via block-based visual-pattern matching. Pattern Recognition 40 4 (2007) 1695-1710
4. J.R. Smith, S.F. Chang, VisualSEEK a fully automated content-based image query system, in: Proc. ACM Multimedia, 1996, pp. 87-98.
5. C. Carson, M. Thomas, S. Belongie, J.M. Hellerstein, J. Malik, Blobworld a system for region-based image indexing and retrieval, in: Proc. of Visual Information Systems, 1999, pp. 509-516.
6. Gevers T., and Smeulders A.W.M. Combining color and shape invariant features for image retrieval. Image and Vision Computing 17 7 (1999) 475-488
7. Jain A.K. Vailaya, image retrieval using color and shape. Pattern Recognition 29 (1996) 1233-1244
8. Zhou X.S., and Huang T.S. Relevance feedback in content based image retrieval: some recent advances. Information Sciences 148 (2002) 129-137
9. Han J., Ngan K.N., Li M., and Zhang H.J. A memory learning framework for effective image retrieval. IEEE Transactions on Image Processing 14 4 (2005) 521-524
10. Chen Y., Wang J.Z., and Krovetz R. Clue: Cluster-based retrieval of images by unsupervised learning. IEEE Transactions on Image Processing 14 8 (2005) 1187-1201
11. Z. Jin, I. King, X. Q. Li, Content-based retrieval by relevance feedback, in: Lecture Notes in Computer Science, vol. 1929, Springer, Berlin, 2000, pp. 521-529.
12. Acharyya M., Kundu M.K., and De R.K. Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework. IEEE Transactions on Geoscience and Remote Sensing 41 12 (2003) 2900-2905
13. Acharyya M., Kundu M.K., and De R.K. Extraction of features using m-band wavelet packet frames and their neuro-fuzzy evaluation for multi-texture segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 25 12 (2003) 1639-1644
14. Lowe D.G. Perceptual Organization and Visual Recognition (1985), Kluwer Academic Publishers, USA
15. Cheng S.C. Content-based image retrieval using moment-preserving edge detection. Image and Vision Computing 21 9 (2003) 809-826
16. Yua Y.H., and Chang C.C. A new edge detection approach based on image context analysis. Image and Vision Computing 24 10 (2006) 1090-1102
17. Lowe D. Distinctive image features from scale invariant keypoints. International Journal of Computer vision 2 60 (2004) 91-110
18. Mikolajczyk K., and Schmid C. Scale and affine invariant interest point detectors. International Journal of Computer vision 1 60 (2004) 63-86
19. H. Zhang, R. Rahamani, S.R. Cholleti, S.A. Goldman, Local image representations using pruned salient points with applications to CBIR, in: Proc. 14th Annu. ACM Internat. Conf. on Multimedia, USA, 2006, pp. 287-296.
20. V. Gouet, N. Boujemma, About optimal use of color points of interest for content-based image retrieval, Technical Report, RR-4439, INRIA, France, May 2006.
21. Weijer J., Gevers T., and Bagdanov A. Boosting color saliency in image feature detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 1 (2006) 150-156
22. E. Loupias, N. Sebe, Wavelet-based salient points: applications to image retrieval using color and texture features, in: Proc. 4th Internat. Conf. on Advances in Visual Information Systems, VISUAL 2000, 2000, pp. 223-232.
23. C. Harris, M. Stephens, A combined corner and edge detector, in: 4 th Alvey Vision Conf., 1988, pp. 147-151.
24. D. Zhang, M. Chen, Y. Lim, An efficient and robust technique for region based shape representation and retrieval, in: Internat. Conf. on Computer and Information Science, ICIS 2007, 2007, pp. 801-806.
25. Chen Y., and Wang J.Z. A region-based fuzzy feature approach to content-based image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 9 (2002) 1-16
26. Martnez J.C., Medina J.M., Barranco C.D., Perales G., and Hidalgo J.M.S. Retrieving images in fuzzy object-relational databases using dominant color descriptors. Fuzzy Sets and Systems 158 3 (2007) 312-324
27. Pal S.K., and Chakraborty B. Intraclass and interclass ambiguities (fuzziness) in feature evaluation. Pattern Recognition Letters 2 (1984) 275-279
28. 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
29. Y. Rubner, L.J. Guibas, C. Tomasi, The earth mover's distance, multi-dimensional scaling and color-based image retrieval, in: Proc. DARPA Image understanding Workshop, 1997, pp. 661-668.
30. M. Banerjee, M.K. Kundu, Content based image retrieval with multiresolution salient points, in: Fourth Indian Conf. Computer Vision, Graphics and Image Processing, ICVGIP 2004, India, 2004, pp. 399-404.
31. Banerjee M., and Kundu M.K. Edge based features for content based image retrieval. Pattern Recognition 36 11 (2003) 2649-2661
32. Rosenfeld A. Fuzzy digital topology. In: Bezdek J.C., and Pal S.K. (Eds). Fuzzy Models for Pattern Recognition (1991), IEEE Press 331-339
33. Pal S.K., and Majumder D.D. Fuzzy Mathematical Approach to Pattern Recognition (1985), Wiley Eastern Limited, New York
34. Zevers T., and Smeulders A.W.M. Color-based object recognition. Pattern Recognition 32 (1999) 453-464
35. Gonzalez R.C., and Woods R.E. Digital Image Processing (1985), Wiley, New York
36. Battiti R. Using mutual information for selecting features in supervised neural net learning. IEEE Transactions on Neural Network 5 4 (1994) 537-550
37. Maji P. f-information measures for efficient selection of discriminative genes from microarray data. IEEE Transactions on Biomedical Engineering (2008) 1-7
38. Quinlan J. Programs for Machine Learning (1993), Morgan Kaufmann, CA
39. Muller H., Muller W., Squire D., Maillet S.M., and Pun T. Performance evaluation in content-based image retrieval: overview and proposals. Pattern Recognition Letters 22 (2001) 593-601
40. Pal S.K., and Chakraborty B. Fuzzy set theoretic measures for automatic feature evaluation. IEEE Transactions on Systems, Man and Cybernetics 16 5 (1986) 754-760
41. Squire D.M., Muller W., Muller H., and Pun T. Content based query of image databases: inspirations from text retrieval. Pattern Recognition Letters 21 (2000) 1993-1998
42. Rui Y., Huang T.S., Ortega M., and Mehrotra S. Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Transactions on Circuits and Systems for Video technology 8 5 (1998) 644-655