Combining color, texture and region with objects of user's interest for content-based image retrieval

Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

Volumn 1, Issue , 2007, Pages 764-769

  Jian, Muwei ^a   Dong, Junyu ^a   Tang, Ruichun ^a  

^a OCEAN UNIVERSITY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; MATHEMATICAL MORPHOLOGY; OBJECT RECOGNITION; SPECIFICATIONS; STATE SPACE METHODS; USER INTERFACES;

COLOR SPACES; CONTENT-BASED IMAGE RETRIEVAL (CBIR) SYSTEMS; OBJECTS OF USER INTEREST (OUI); TEXTURE FEATURES;

IMAGE RETRIEVAL;

EID: 35148820688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SNPD.2007.207     Document Type: Conference Paper

References (21)

1. Flickner, M.: Query by image content: the QBIC system. In: IEEE Computer Magazine. Volume 28. (1995).
2. Shi, J., Malik, J., 2000. Normalized cuts and image segmentation. IEEE Trans. PAMI 22 (8), 888-905.
3. Ma, W.Y., Manjunath, B.S., 2000. EdgeFlow: A technique for boundary detection and image segmentation. IEEE Trans.Image Process. 9 (8), 1375-1388.
4. Lau, H.F., Levine, M.D., 2002. Finding a small number of regions in an image using low-level features. Pattern Recognition 35 (11), 2323-2339.
5. Carson, C., Belongie, S., Greenspan, H., 2002. Blobworld: Image segmentation using expectation-maximization and its application to image querying. IEEE Trans. PAMI 24 (8), 1026-1038.
6. Huang, J., Kumar, S., Mitra, M., Zhu, W., Zabih, R.: Image indexing using color correlograms. In: Proc. of IEEE Conf. on Com. Vis. and Pat Rec. (1997) 762-768
7. Long F., Zhang H.J., and Feng D.D. (2003) "Fundamentals of content-based image retrieval" in Multimedia Information Retrieval and Management- Technological Fundamentals and Applications, D. Feng, W.C. Siu, and H.J. Zhang (Eds.), Springer, 2003
8. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker, "Query by image and video content: The QBIC system." IEEE Computer, Vol.28, No.9, pp. 23-32, Sept. 1995.
9. J. D. Foley, A. van Dam, S. K. Feiner, and J. F. Hughes, Computer graphics: principles and practice, 2nd ed., Reading, Mass, Addison-Wesley, 1990.
10. G. Pass, and R Zabith, "Histogram refinement for content-based image retrieval," IEEE Workshop on Applications of Computer Vision, pp. 96-102, 1996.
11. Haralick, R., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. on Systems, Man and Cybernetics 3 (1973) 610-621
12. H. V. Jagadish, "A retrieval technique for similar shapes," Proc. of Int. Conf. on Management of Data, SIGMOID'91, Denver,CO,pp.208-217,May 1991
13. E. Persoon, and K. Fu, "Shape discrimination using Fourier descriptors," IEEE Trans. Syst., Man,and Cybern., Vol. 7, pp. 170-179, 1977 14. Pentland, A., Picard, R., Scarlo, S.: Photobook: Tools for content-based manipulation of image databases. In: Proc. of Storage and Retrieval for Image and Video Databases II, SPIE. Volume 2. (1994)
14. S. Sclaroff, and A Pentland, "Modal matching for correspondence and recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence,Vol.17,No.6,pp.545-561,june 1995
15. A. K. Jain, and F. Farroknia, "Unsupervised texture segmentation using Gabor filters," Pattern Recognition, Vo.24, No. 12,pp. 1167-1186,1991
16. S. G. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 11, pp. 674-693, July 1989.
17. Ediz Saykol, Ugur Güdükbay, Özgür Ulusoy: Integrated Querying of Images by Color, Shape, and Texture Content of Salient Objects. Advances in Information Systems: 363-371. October 2004.
18. R.S. Choraś: Invariant Image Retieval Using Color, Texture and Shape Information Visualization, Imaging, and Image Processing, 396-047, 10/2003.
19. J. Smith and S.-F. Chang, "Transform features for texture classification and discrimination in large image database". IEEE Intl. Conf. on Image Proc., 1994.
20. E. M. Arkin, L.P. Chew, D.P. Huttenlocher, K. Kedem, and J.S.B. Mitchell, "An efficiently computable metric for comparing polygonal shapes," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 3, pp. 209-226, 1991.
21. Corel: Image Library, University of california, berkely. http://calphotos.berkeley.edu/use.html#download.