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