Abstract
In this paper, we propose an interactive indexing scheme to facilitate an efficient search of Chinese calligraphic manuscript images based on hybrid features such as contour points and number of strokes. Different from conventional character retrieval and indexing methods [6], our proposed indexing algorithm allows user to choose other feature such as stroke of character they prefer to as query element. To better facilitate an efficient and unified retrieval, we then propose a Hybrid-Feature-Tree(HF-Tree)-based high- dimensional indexing scheme. Comprehensive experiments are conducted to testify its effectiveness and efficiency.
This paper is partially supported by the Program of National Natural Science Foundation of China under Grant No. 60873022, 60903053; The Program of Natural Science Foundation of Zhejiang Province under Grant No. Y1080148, Y1090165; The Key Project of Special Foundation for Young Scholars in Zhejiang Gongshang University under Grant No. G09-7.
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Zhuang, Y., Yuan, C. (2010). A Hybrid-Feature-Based Efficient Retrieval over Chinese Calligraphic Manuscript Image Repository. In: Chen, L., Tang, C., Yang, J., Gao, Y. (eds) Web-Age Information Management. WAIM 2010. Lecture Notes in Computer Science, vol 6184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14246-8_53
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DOI: https://doi.org/10.1007/978-3-642-14246-8_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14245-1
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