• 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