Abstract
In this paper, we propose a novel metrics for statistical features of images based on Information Bottleneck principle (IBP). Rather than measure the differences among images with classical distance, our model takes the attributes of feature space into consideration. Through evaluating the loss of information of image database, our model is especially designed for the type of features bearing statistical attributes such as histograms, moments etc. The statistical feature is adopted to denote the information of the image database and our metrics measures the distance between two images with the amount of decreased information due to combine them as one category. The proposed metrics is validated in face retrieval with the dominant Local Binary Pattern (LBP) feature. Experimental results on FERET face database show that our model possesses preferable performance.
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
Takacs, B.: Comparing face images using the modified Hausdorff distance. Pattern Recognition 31(12), 1873–1881 (1998)
Takacs, B., Wechsler, H.: Fast Searching of Digital Face Libraries Using Binary Image Metrics. In: 14th International Conference on Pattern Recognition (ICPR 1998), vol. 2, pp. 1235–1237 (1998)
Zhang, L., Yang, Q., Bao, T., Vronay, D., Tang, X.: Imlooking: image-based face retrieval in online dating profile search. In: CHI Extended Abstracts, pp. 1577–1582 (2006)
Sampat, M.P., Wang, Z., Gupta, S., Bovik, A.C., MarKey, M.K.: Complex Wavelet Structural Similarity: A New Image Similarity Index. IEEE Transaction on Image Processing 18(11), 2385–2401 (2009)
Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution Gray-scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Transactions on PAMI 24, 971–987 (2002)
Martinez, A.: Face image retrieval using HMMs. In: IEEE Workshop on Content-Based Access of Image and Video Libraries, pp. 35–39 (1999)
Eickeler, S.: Face database retrieval using pseudo 2D hidden Markov models. In: Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 58–63 (2002)
Kamei, T.: Face retrieval by an adaptive Mahalanobis distance using a confidence factor. In: International Conference on Image Processing, vol. 1, pp. I-153–I-156 (2002)
Tishby, N., Pereira, F., Bialek, W.: The information bottleneck method. In: Proc. 37th Allerton Conference on Communication and Computation (1999)
Slonim, N., Tishby, N.: Agglomerative information bottleneck. In: NIPS (1999)
Cover, T.M., Thomas, J.A.: Elements of Information Theory, 2nd edn. Wiley Series in Telecommunications. Wiley, New York (2006)
Pereira, F.C., Tishby, N., Lee, L.: Distributional clustering of English words. In: 30th Annual Meeting of the Association for Computational Linguistics, pp. 183–190 (1993)
Slonim, N., Tishby, N.: Document clustering using word clusters via the information bottleneck method. In: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, pp. 208–215 (2000)
Hsu, W.H., Kennedy, L.S., Chang, S.: Video search reranking via information bottleneck principle. In: Proceedings of the 14th annual ACM international conference on Multimedia, pp. 35–44 (2006)
Bardera, A., Rigau, J., Boada, I., Feixas, M., Sbert, M.: Image Segmentation Using Information Bottleneck Method. IEEE Transactions on Image Processing 18(7), 1601–1612 (2009)
Ojala, T., Pietikäinen, M., Harwood, D.: A Comparative Study of Texture Measures with Classification Based on Featured Distributions. Pattern Recognition 29(1), 51–59 (1996)
Ahonen, T., Hadid, A., Pietikäinen, M.: Face Recognition with Local Binary Patterns. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cai, Q., Fang, Y., Luo, J., Dai, W. (2010). A Novel Metrics Based on Information Bottleneck Principle for Face Retrieval. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-15702-8_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15701-1
Online ISBN: 978-3-642-15702-8
eBook Packages: Computer ScienceComputer Science (R0)