• DocumentCode
    2259902
  • Title

    A fast retrieval algorithm for the earth mover´s distance using EMD lower bounds and the priority queue

  • Author

    Shishibori, Masami ; Koizumi, Daichi ; Kita, Kenji

  • Author_Institution
    Univ. of Tokushima, Tokushima, Japan
  • fYear
    2009
  • fDate
    24-27 Sept. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Earth mover´s distance (EMD) is a distance measure between two distributions, and has been widely used in multimedia information retrieval systems, especially content-based image retrieval systems. When the EMD is applied to image problems based on color or texture, the EMD reflects the human perceptual similarities. Its computations, however, is too expensive to use in large-scale databases. In order to achieve the efficient computation of the EMD during query processing, we have developed ldquofastEMDrdquo, a library for high-speed feature-based similarity retrievals in large databases. This paper introduces techniques that are used in the implementation of the fastEMD and demonstrates the efficiency in extensive experiments.
  • Keywords
    content-based retrieval; data structures; feature extraction; image colour analysis; image retrieval; image texture; linear programming; multimedia databases; very large databases; CBIR; EMD lower bound; content-based image retrieval system; earth mover distance measure; fastEMD library; high-speed feature-based similarity retrieval; human perceptual similarity; image color; image texture; information retrieval algorithm; large-scale multimedia database; linear programming problem; multimedia information retrieval system; priority queue; query processing; Content based retrieval; Earth; Humans; Image databases; Image retrieval; Information retrieval; Large-scale systems; Multimedia databases; Multimedia systems; Spatial databases; Content-based Image Retrieval; Earth Mover´s Distance; Lower Bounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-4538-7
  • Electronic_ISBN
    978-1-4244-4540-0
  • Type

    conf

  • DOI
    10.1109/NLPKE.2009.5313772
  • Filename
    5313772