Abstract
The rapid growth of image archives increases the need for efficient and fast tools that can retrieve and search through large amount of visual data. In this paper we propose an efficient method of extracting the image color content, which serves as a digital signature, allowing to efficiently index and retrieve large multimedia Internet based databases. We applied the proposed method using the images from the WEBMUSEUM Internet database containing the collection of images of fine arts and show that the new method of image color representation is robust to image resizing and compression and therefore can be incorporated into existing web-based image retrieval systems.
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REFERENCES
Swain M., D. Ballard, Color indexing, International Journal of Computer Vision, 7, 1, 11–32, 1991.
M. Strieker, M. Orengo, Similarity of color images, in SPIE Conference on Storage and Retrieval for Image and Video Databases III, 2420, 381–392, February 1995.
X. Wan, C. C. J. Kuo, Color distribution analysis and quantization for image retrieval, Proceedings of SPIE, Vol. 2670, February 1996.
B. S. Manjunath, W. Y. Ma, Texture features for browsing and retrieval of image data, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 8, 837–842, 1996.
J. E. Gary, R. Mehrotra, Similar shape retrieval using a structural feature index, Information Systems, 18, 7, 525–537, October 1990.
A. K. Jain and A. Vailaya, Image retrieval using color and shape, Pattern Recognition, 29, 8, 1233–1244, 1996.
B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, A. Yamada, Color and texture descriptors, IEEE Trans. CSVT, 11, 6, 703–715, June 2001.
D. W. Scott, Multivariate Density Estimation, New York, John Wiley, 1992.
J. Li, J. Z. Wang, Automatic linguistic indexing of pictures by a statistical modeling approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 9, 1075–1088, 2003.
J.Z. Wang, J. Li, G. Wiederhold, SIMPLIcity: Semantics-sensitive Integrated Matching for Picture Libraries, IEEE Trans. on Pattern Analysis and Machine Intelligence, 23, 9, 947–963, 2001.
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Smolka, B., Szczepanski, M., Wojciechowski, K. (2006). IMAGE RETRIEVAL FOR THE WWW. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_56
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DOI: https://doi.org/10.1007/1-4020-4179-9_56
Publisher Name: Springer, Dordrecht
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