DocumentCode :
2224237
Title :
A effective clustering indexing based on EMD for Web image retrieval
Author :
Tao, Wenbing ; Luo, Feng
Author_Institution :
Service Comput. Technol. & Syst. Lab. of Minist. of Educ., Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2008
fDate :
July 31 2008-Aug. 1 2008
Firstpage :
113
Lastpage :
118
Abstract :
In this paper, we develop an effective clustering indexing scheme based on Earth Moverspsila Distance (EMD) for Web image retrieval. By the proposed clustering method, the collected web images can be automatically classified into some image subclasses with the number of the elements less than a given threshold. Then the resulted clustering structure is hierarchical tree, which extremely facilitate to quickly locate the similar image subclass nodes. Additionally, a triple tree structure is presented to effectively represent hierarchical clustering tree, and a query scheme based on approximative EMD measure is developed to achieve fast image retrieval based on the sample image. The experimental results also demonstrate the excellent performance of the proposed method.
Keywords :
Internet; image retrieval; indexing; query processing; Earth movers distance; Web image retrieval; clustering indexing; hierarchical tree; query scheme; Computers; Content based retrieval; Image databases; Image retrieval; Image segmentation; Image storage; Indexing; Partitioning algorithms; Search engines; World Wide Web; Clustering indexing; Content-based image retrieval; EMD; Web context;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubi-Media Computing, 2008 First IEEE International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4244-1865-7
Electronic_ISBN :
978-1-4244-1866-4
Type :
conf
DOI :
10.1109/UMEDIA.2008.4570875
Filename :
4570875
Link To Document :
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