Abstract
This paper proposes an efficient probabilistic indexing scheme called Probabilistic Multiple-Feature-Tree(PMF-Tree) to facilitate an interactive retrieval of Chinese calligraphic manuscript images based on multiple features such as contour points, character styles and types of character. Different from conventional character retrieval and indexing methods [18] which only adopts shape similarity as a query metric, our proposed indexing algorithm allows user to choose the above three kinds of features they prefer to as query elements. Moreover, a probabilistic modal is introduced to refine the retrieval result. Comprehensive experiments are conducted to testify the effectiveness and efficiency of our proposed retrieval and indexing methods respectively.
This paper is partially supported by the Program of National Natural Science Foundation of China under Grant No. 60003047, No.60873022, No.60903053; The Program of Natural Science Foundation of Zhejiang Province under Grant No. Z1100822, No.Y1080148, No.Y1090165; The Science Fund for Young Scholars of Zhejiang Gongshang University under Grant No. G09-7. The Science & Technology Planning Project of Wenzhou under Grant No. 2010G0066.
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References
Zhang, X.-Z.: Chinese Character Recognition Techniques. Tsinghua University Press, Beijing (1992)
Wu, Y.-S., Ding, X.-Q.: Chinese character recognition: the principles and the implementations. High Education Press, Beijing (1992)
Rath, T.M., Manmatha, R., Lavrenko, V.: A search engine for historical manuscript images. In: SIGIR, pp. 369–376 (2004)
Yosef, I.B., Kedem, K., Dinstein, I., Beit-Arie, M., Engel, E.: Classification of Hebrew Calligraphic Handwriting Styles: Preliminary Results. In: DIAL 2004, pp. 299–305 (2004)
Palmondon, R., Srihari, S.N.: On-Line and Off-Line hand-writing Recognition: A Comprehensive Survey. IEEE Trans. on PAMI 22(1), 63–84 (2000)
Shi, B.-l., Zhang, L., Wang, Y., Chen, Z.-F.: Content Based Chinese Script Retrieval Through Visual Similarity Criteria. Chinese Journal of Software 12(9), 1336–1342 (2001)
Chui, H.-l., Rangarajan, A.: A new point matching algorithm for non-rigid registration. CVIU 89(2-3), 114–141 (2003)
Belongie, S., Malik, J., Puzicha, J.: Shape Matching and Object Recognition Using Shape Contexts. IEEE Trans. on PAMI 24(4), 509–522 (2002)
Cohen, S., Guibas, L.: The Earth Mover’s Distance under Transformation Sets. In: ICCV, Corfu, Greece, pp. 173–187 (September 1999)
Böhm, C., Berchtold, S., Keim, D.: Searching in High-dimensional Spaces: Index Structures for Improving the Performance of Multimedia Databases. ACM Computing Surveys 33(3) (2001)
Guttman, A.: R-tree: A dynamic index structure for spatial searching. In: SIGMOD, pp. 47–54 (1984)
Berchtold, S., Keim, D.A., Kriegel, H.P.: The X-tree: An index structure for high-dimensional data. In: VLDB, pp. 28–37 (1996)
Weber, R., Schek, H., Blott, S.: A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In: VLDB, pp. 194–205 (1998)
Berchtold, S., Bohm, C., Kriegel, H.P., Sander, J., Jagadish, H.V.: Independent quantization: An index compression technique for high-dimensional data spaces. In: ICDE, pp. 577–588 (2000)
Jagadish, H.V., Ooi, B.C., Tan, K.L., Yu, C., Zhang, R.: iDistance: An Adaptive B+-tree Based Indexing Method for Nearest Neighbor Search. ACM Trans. on Database Systems 2(30), 364–397 (2005)
Frey, B.J., Dueck, D.: Clustering by Passing Messages Between Data Points. Science 315, 972–976
2010, www.cadal.zju.edu.cn
Zhuang, Y., Zhuang, Y.-T., Li, Q., Chen, L.: Interactive high-dimensional index for large Chinese calligraphic character databases. ACM Trans. Asian Lang. Inf. Process. 6(2) (2007)
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Zhuang, Y., Jiang, N., Hu, H., Hu, H., Jiang, G., Yuan, C. (2011). Probabilistic and Interactive Retrieval of Chinese Calligraphic Character Images Based on Multiple Features. In: Yu, J.X., Kim, M.H., Unland, R. (eds) Database Systems for Advanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20149-3_23
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DOI: https://doi.org/10.1007/978-3-642-20149-3_23
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