Abstract
Content description and representation are still challenging issues for the design and management of content-based image retrieval systems. This work proposes to derive content descriptors of color images by wavelet coding and indexing of the HSV (Hue, Saturation, Value) channels. An efficient scheme for this problem has to trade between being translation and rotation invariant, fast and accurate at the same time. Based on a diverse and difficult database of 1020 color images, and a strong experimental protocol we propose a method that first divides an image into 9 rectangular regions (i.e. zoning), second it applies a wavelet transformation in each of the HSV channels. A subset of the approximation and of detail coefficients of each set is then selected. A similarity measure based on histogram intersection followed by vector distance computation for the 9 regions then evaluates and ranks the closest images of the database by content. In this paper we give the details of the this new approach and show promising results upon extensive experiments performed in our lab.
Keywords
- Image Retrieval
- Wavelet Coefficient
- Query Image
- Detail Coefficient
- Wavelet Feature
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Chapter PDF
References
Albuz, E., Kocalar, E.: Scalable color image indexing and retrieval using vector wavelets. IEEE Trans. on Knowledge and Data Eng. 13(5), 851–861 (2001)
Brambilla, C., Ventura, D.A., Gagliardi, I., Schettini, R.: Multiresolution Wavelet Transform and Supervised Learning for Content-based Image Retrieval. IEEE Multimedia Systems 1999 I, 183–188 (1999)
Chen, S.-C., Sista, S., Shyu, M.-L., Kashyap, R.L.: An Indexing and Searching Structure for Multimedia Database Systems. IS&T/SPIE Conference on Storage and Retrieval for Media Databases 2000, pp. 262-270 (2000)
Du Buf, J.M.H., Kardan, M., Spann, M.: Texture feature performance for image segmentation. Pattern Recognition 23, 291–309 (1990)
Flickner, M., Sawhney, H., Niblack, W.: Query by image and video content: the qbic system. IEEE Computer 28(9), 23–32 (1995)
Liang, K., Kuo, C.C.: WaveGuide: a joint wavelet-based image representation and description system. IEEE Transactions on Image Processing 8, 1619–1629 (1999)
Manjunath, B.S., Ma, W.Y.: Texture features for browsing and retrieval of image data. IEEE Trans. Patt. Anal. Machine Intell. 18, 837–842 (1996)
Rao, A.R., Lohse, G.L.: Identifying High level Features of texture Perception. CVGIP: Graphic Models and Image Processing 55(3), 218–233 (1993)
Resnikoff, H., Wells Jr., R.: Wavelet Analysis. Springer, Heidelberg (1998)
Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-Based Image Retrieval at the End of the Early Years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 1349–1380 (2000)
Swain, M., Ballard, D.: Color Indexing. Int. J. Computer Vision 7, 11–32 (1991)
Yavlinsky, A., Pickering, M., Heesch, D., Ruger, S.: A comparative study of evidence combination strategies. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. III, pp. 1040–1043 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ramos, F., Gomes, H.M., Borges, D.L. (2005). Evaluating Content-Based Image Retrieval by Combining Color and Wavelet Features in a Region Based Scheme. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_71
Download citation
DOI: https://doi.org/10.1007/11578079_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29850-2
Online ISBN: 978-3-540-32242-9
eBook Packages: Computer ScienceComputer Science (R0)
Publish with us
-
Published in cooperation with
http://www.iapr.org/
