Abstract
In this paper, several effective learning algorithms using global image representations are adjusted and introduced to region-based image retrieval (RBIR). First, the query point movement technique is considered. By assembling all the segmented regions of positive examples together and resizing the regions to emphasize the latest positive examples, a composite image is formed as the new query. Second, the application of support vector machines (SVM) in relevance feedback for RBIR is investigated. Both the one class SVM as a class distribution estimator and two classes SVM as a classifier are taken into account. For the latter, two representative display strategies are studied. Last, a region re-weighting algorithm is proposed inspired by those feature re-weighting ones. Experimental results on a database of 10,000 general-purpose images demonstrate the effectiveness of the proposed learning algorithms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Carson, C., et al, “Blobworld: a system for region-based image indexing and retrieval,” Third Int. Conf. On Visual Information Systems, 1999.
Chang, C.-C., and Lin, C.-J., “Training nu-support vector classifiers: theory and algorithms.” Neural Computation, 13(9), 2119–2147.
Chapelle, O., Haffner, P., Vapnik, V. N., “Support vector machines for histogram-based image classification,” IEEE Transactions on Neural Networks, 10(5):1055–1064, Sept. 1999.
Chen, Y., et al, “One-class SVM for Learning in Image Retrieval,” IEEE Intl Conf. on Image Proc. (ICIP’2001), Thessaloniki, Greece, October 7–10, 2001
Cristianini, N., Shawe-Taylor, J., “An Introduction to Support Vector Machines.” Cambridge University Press, Cambridge, UK, 2000.
Huang, J., et al, “Image indexing using color correlograms”. In Proc. IEEE Comp. Soc. Conf. Comp. Vis. and Patt. Rec., pages 762–768, 1997.
Huang, T.S., et al, “Learning in Content-Based Image Retrieval”. The 2nd International Conference on Development and Learning, 2002
Jing, F., Li, M., Zhang, H.J., Zhang, B., “Region-based relevance feedback in image retrieval”, Proc. IEEE International Symposium on Circuits and Systems (ISCAS), 2002.
Jing, F., Li, M., Zhang, H.J., Zhang, B., “Unsupervised Image Segmentation Using Local Homogeneity Analysis”, Proc. IEEE International Symposium on Circuits and Systems, 2003.
Minka, T.P., Picard, R.W., “Interactive Learning Using A Society Of Models”, Pattern Recognition, vol. 30, no. 4, pp. 565–581, April 1997.
Rubner, Y., et al, “A Metric for Distributions with Applications to Image Databases.” Proceedings of the 1998 IEEE International Conference on Computer Vision, January 1998.
Rui, Y., and Huang, T.S., “Optimizing Learning in Image Retrieval”, Proceeding of IEEE int. Conf. On Computer Vision and Pattern Recognition, Jun. 2000.
Salton, G., “Automatic text processing”, Addison-Wesley, 1989.
Stricker, M. and Orengo, M., “Similarity of Color Images”, in Storage and Retrieval for Image and Video Databases, Proc. SPIE 2420, pp 381–392, 1995.
Tong, S. and Chang, E. “Support vector machine active leaning for image retrieval,” ACM Multimedia 2001, Ottawa, Canada.
Wang, J. Z., Li, J., Wiederhold, G., “SIMPLIcity: Semantics-sensitive Integrated Matching for Picture Libraries”, PAMI, vol. 23, 2001.
Zhang, L., Lin, F.Z., Zhang, B. “Support Vector Machine Learning for Image Retrieval”, IEEE International Conference on Image Processing, October, 2001.
Zhang, L., Lin, F.Z., Zhang, B. “A CBIR method based on color-spatial feature”. IEEE Region 10 Annual International Conference 1999:166–169
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jing, F., Li, M., Zhang, L., Zhang, HJ., Zhang, B. (2003). Learning in Region-Based Image Retrieval. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds) Image and Video Retrieval. CIVR 2003. Lecture Notes in Computer Science, vol 2728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45113-7_21
Download citation
DOI: https://doi.org/10.1007/3-540-45113-7_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40634-1
Online ISBN: 978-3-540-45113-6
eBook Packages: Springer Book Archive