Abstract
Image retrieval has emerged as an important problem in multimedia database management. This paper uses the color distribution, the mean value and the standard deviation, of an image as global information for image retrieval. Furthermore, this paper uses the common bitmap to represent the local characteristics of the image. The performance of the method is tested on three different image databases consisting of 410, 235, and 10,235 images. The third database has been partitioned into 10 categories for exploring the category retrieval ability. According to the experimental results, we find that the proposed method can effectively retrieve more similar images than other methods and the category ability is also higher than others. In addition, the total memory space for saving the image features of the proposed method is less than other methods.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Brunelli, R., Mich, O.: Histograms Analysis for Image Retrieval. Pattern Recognition 34, 1625–1637 (2001)
Chang, C.C., Chang, Y.K.: A Fast Filter for Image Retrieval Based on Color-Spatial Features. In: Proceedings of the Second International Workshop on Software Engineering and Multimedia Applications, Baden-Baden, Germany, vol. 2, pp. 47–51 (2000)
Flickner, M., Sawhney, H., Niblack, W., Ashley, J., Huang, Q., Dom, B., Gorkani, M., Hafner, J., Lee, D., Petkovic, D., Steele, D., Yanker, P.: Query by Image and Video Content: the QBIC System, vol. 28(9), pp. 23–32. IEEE Computer, Los Alamitos (1995)
Chan, Y.K., Liu, Y.T.: An Image Retrieval System Based on the Image Feature of Color Differences on Edges in Spiral Scan Order. International Journal on Pattern Recognition and Artificial Intelligence 17(8), 1417–1429 (2003)
Du, Y.P., Wang, J.Z.: A Scalable Integrated Region-Based Image Retrieval System. In: Proceedings of the International Conference on Image Processing, Thessaloniki, Greece, vol. 1, pp. 22–25 (2001)
Fuh, C.S., Cho, S.W., Essig, K.: Hierarchical Color Image Region Segmentation for Content-Based Image Retrieval System. IEEE Transactions on Image Processing 9(1), 156–162 (2000)
Gong, Y., Chuan, C.H., Xiaoyi, G.: Image Indexing and Retrieval Using Color Histograms. Multimedia Tools and Applications 2, 133–156 (1996)
Gagliardi, I., Schettini, R.: A Method for the Automatic Indexing of Color Image for Effective Image Retrieval. The New Review of Hypermedia and Multimedia 3, 201–224 (1997)
Hsieh, J.W., Grimson, W.E.L., Chiang, C.C., Huang, Y.S.: Region-Based Image Retrieval. In: Proceedings of the International Conference on Image Processing, Vancouver, BC, Canada, vol. 1, pp. 77–80 (2000)
Iqbal, Q., Aggarwal, J.K.: CIRES: A System for Content-based Retrieval in Digital Image Libraries. In: Proceedings of the Seventh International Conference on Control, Automation, Robotics and Vision, Singapore, pp. 205–210 (2002)
Kankanhalli, M.S., Mehtre, B.M., Huang, H.Y.: Color and Spatial Feature for Content-Based Image Retrieval. Pattern Recognition 22(3-4), 323–337 (2001)
Kou, W.J.: Study on Image Retrieval and Ultrasonic Diagnosis of Breast Tumors. Dissertation, Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, R.O.C (2001)
Li, J., Wang, J.Z.: Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(10), 1075–1088 (2003)
Schettini, R., Ciocca, G., Zuffi, S.: A Survey of Methods for Colour Image Indexing and Retrieval in Image Databases. In: MacDonald, L.W., Luo, M.R. (eds.) Color Imaging Science: Exploiting Digital Media. Wiley, J. & Sons Ltd., Chichester (2001)
Stehling, R.O., Nascimento, M.A., Falcao, A.X.: An Adaptive and Efficient Clustering-Based Approach for Content-Based Image Retrieval in Image Databases. In: Proceedings of the International Database Engineering and Applications Symposium, Grenoble, France, pp. 356–365 (2001)
Stricker, M., Dimai, A.: Spectral Covariance and Fuzzy Regions for Image Indexing. Machine Vision and Applications 10, 66–73 (1997)
Wang, J.Z., Li, J., Wiederhold, G.: SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(9), 947–963 (2001)
Wang, J.Z., Du, Y.P.: Scalable Integrated Region-Based Image Retrieval Using IRM and Statistical Clustering. In: Proceedings of ACM/IEEE Joint Conference on Digital Libraries, Roanoke, Virginia, USA, pp. 268–277 (2001)
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
Chang, CC., Lu, TC. (2005). A Color-Based Image Retrieval Method Using Color Distribution and Common Bitmap. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_5
Download citation
DOI: https://doi.org/10.1007/11562382_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29186-2
Online ISBN: 978-3-540-32001-2
eBook Packages: Computer ScienceComputer Science (R0)