Abstract
In this paper a novel technique of color based image retrieval is proposed. The image is represented by Gaussian mixtures of the set of histograms corresponding to the spatial location of the color regions within the image. The proposed approach enables to express user’s needs concerning the specified color arrangements of the retrieved images, in form of the colors belonging to the eleven basic color groups along with their spatial locations. The solution proposed in this paper utilizes the mixture modeling of the information of each set of the color channels. Experimental results show that the proposed method is efficient and flexible, when specific user’s requirements are considered.
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.
References
Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image Retrieval: Ideas, Influences, and Trends of the New Age. ACM Computing Surveys 40(2), 1–60 (2008)
Zhou, X.S., Rui, Y., Huang, T.S.: Exploration of Visual Data. Kluwer (2003)
Huang, J., et al.: Spatial Color Indexing and Applications. International Journal of Computer Vision 35(3), 245–268 (1999)
Pass, G., Zabih, R.: Comparing images using joint histograms. Journal of Multimedia Systems 7(3), 234–240 (1999)
Ciocca, G., Schettini, L., Cinque, L.: Image Indexing and Retrieval Using Spatial Chromatic Histograms and Signatures. In: Proc. of CGIV, pp. 255–258 (2002)
Lambert, P., Harvey, N., Grecu, H.: Image Retrieval Using Spatial Chromatic Histograms. In: Proc. of CGIV, pp. 343–347 (2004)
Hartut, T., Gousseau, Y., Schmitt, F.: Adaptive Image Retrieval Based on the Spatial Organization of Colors. Computer Vision and Image Understanding 112, 101–113 (2008)
Heidemann, G.: Combining Spatial and Colour Information For Content Based Image Retrieval. Computer Vision and Image Understanding 94, 234–270 (2004)
Wang, J.Z., Li, J., Wiederhold, G.: SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries. IEEE Trans. Patt. Anal. Mach. Intel. 9, 947–963 (2001)
Rugna, J.D., Konik, H.: Color Coarse Segmentation and Regions Selection for Similar Images Retrieval. In: Proc. of CGIV, pp. 241–244 (2002)
Dvir, G., Greenspan, H., Rubner, Y.: Context-Based Image Modelling. In: Proc. of ICPR, pp. 162–165 (2002)
Jing, F., Li, M., Zhang, H.J.: An Effective Region-Based Image Retrieval Framework. IEEE Trans. on Image Processing 13(5), 699–709 (2004)
Berretti, A., Del Bimbo, E.: Weighted Walktroughs Between Extended Entities for Retrieval by Spatial Arrangement. IEEE Trans. on Multimedia 3(1), 52–70 (2002)
Bilmes, J.: A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models, University of Berkeley, ICSI-TR-97-021 (1997)
McLachlan, G., Peel, D.: Finite Mixtures Models. John Wiley & Sons (2000)
Ediz, S., Ugur, G., Ulusoy, O.: A histogram-based approach for object-based query-by-shape-and-color in image and video databases. Image and Vis. Comp. 23, 1170–1180 (2005)
Stricker, M., Dimai, A.: Color indexing with weak spatial constraints. In: SPIE Proc., vol. 2670, pp. 29–440 (1996)
Xuelong, L.: Image retrieval based on perceptive weighted color blocks. Pattern Recognition Letters 24(12), 1935–1941 (2003)
Van den Broek, E.L., Schouten, Th.E., Kisters, P.M.F.: Modeling human color categorization. Pattern Recogn. Lett. 29(8), 1136–1144 (2008)
Dempster, A., Laird, N., Rubin, D.: Maximum Likelihood from incomplete data. J. Royal Stat. Soc. 39B, 1–38 (1977)
Luszczkiewicz, M., Smolka, B.: Spatial Color Distribution Based Indexing and Retrieval Scheme. Advances in Soft Computing 59, 419–427 (2009)
Luszczkiewicz, M., Smolka, B.: Application of Bilateral Filtering and Gaussian Mixture Modeling for the Retrieval of Paintings. In: Proc. of ICIP, pp. 77–80 (2009)
Rubner, Y., Tomasi, C., Guibas, L.J.: A Metric for Distributions with Applications to Image Databases. In: Proc. of ICCV, pp. 59–66 (1998)
Liu, G.H., Zhan, L., Hou, Y.H., Li, Z.Y., Yang, J.Y.: Image retrieval based on multi-texton histogram. Pattern Recognition 7(43), 2380–2389 (2010)
Chatzichristofis, S.A., Boutalis, Y.S., Lux, M.: IMG(RUMMAGER): An Interactive Content Based Image Retrieval System. In: Proc. of the 2nd International Workshop on Similarity Search and Applications (SISAP), pp. 151–153 (2009)
Manjunath, B.S., Ohm, J.R., Vasudevan, V., Yamada, A.: Color and Texture Descriptors. IEEE Trans. Cir. Sys. Video Technology 11, 703–715 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Luszczkiewicz-Piatek, M., Smolka, B. (2012). Selective Color Image Retrieval Based on the Gaussian Mixture Model. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P., Zemčík, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2012. Lecture Notes in Computer Science, vol 7517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33140-4_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-33140-4_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33139-8
Online ISBN: 978-3-642-33140-4
eBook Packages: Computer ScienceComputer Science (R0)