Abstract—Content-based image retrieval
(CBIR) applications have been rapidly developed along with the increase in the
quantity, availability and importance of images in our daily life. However, the
wide deployment of CBIR scheme has been limited by its the severe computation
and storage requirement. In this paper, we propose a privacy-preserving
content-based image retrieval scheme, which allows the data owner to outsource
the image database and CBIR service to the cloud, without revealing the actual
content of the database to the cloud server. Local features are utilized to
represent the images, and earth mover’s distance (EMD) is employed to evaluate
the similarity of images. The EMD computation is essentially a linear
programming (LP) problem. The proposed scheme transforms the EMD problem in
such a way that the cloud server can solve it without learning the sensitive
information. In addition, local sensitive hash (LSH) is utilized to improve the
search efficiency. The security analysis and experiments show the security and
efficiency of the proposed scheme.
Conclusion
In this paper, we propose a privacy-preserving contentbased
image retrieval scheme, which allows the data owner to outsource image database
and the CBIR service to the cloud without revealing the actual content of the
database. Local features are utilized to represent the images, and earth
mover’s distance (EMD) is employed to evaluate the similarity of images.We
transform the EMD problem so that the cloud server can solve the problem
without learning the sensitive information. In order to improve the search
efficiency, we design a two-stage structure with LSH. In the first stage,
dissimilar images are filtered out by pre-filter tables to shrink the search
scope. In the second stage, the remaining images are Any
Query Call Us: 9566355386
compared under EMD
metric one by one for refined search results. The security analysis and
experiments show the security and efficiency of the proposed scheme.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
• System : Pentium IV
2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44
Mb.
• Monitor : 15 VGA
Colour.
• Mouse : Logitech.
• Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
• Operating system : -
Windows XP/7.
• Coding Language :
JAVA/J2EE
• Data Base : MYSQL
REFERENCES
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[2] A. K. Jain, J.-E. Lee, R. Jin, and N. Gregg, ―Content-based
image retrieval: An application to tattoo images,‖ in Image Processing
(ICIP), 2009 16th IEEE International Conference on. IEEE, 2009, pp. 2745–2748.
[3] J. M. Lewin, R. E. Hendrick, C. J. DOrsi, P. K. Isaacs,
L. J. Moss, A. Karellas, G. A. Sisney, C. C. Kuni, and G. R. Cutter,
―Comparison of full-field digital Any Query Call Us:
9566355386
mammography with screen-film mammography for cancer
detection: Results of 4,945 paired examinations 1,‖ Radiology, vol. 218,
no. 3, pp. 873–880, 2001.