• DocumentCode
    2300553
  • Title

    Research and application of the image search algorithm based on LIRE

  • Author

    Liu Dong-Fei ; Chen Wei ; Chen Gen-Peng

  • Author_Institution
    Comput. Sci. & Technol. Inst., Wuhan Univ. Of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    811
  • Lastpage
    815
  • Abstract
    In this paper, the content-based image retrieval was firstly introduced, then analyzed the structure of the open source image retrieval system LIRE framework. Based on these, this paper put forward an image retrieval results sequencing algorithm, which was based on the mean square difference. And through improving the LIRE system framework, we realized an image retrieval system, and analyzed the application scenarios and commercial value. The retrieval system framework was based on the improvement of the mean square difference sequencing algorithm, which improved the correlation and accuracy of the retrieval results about LIRE, and had good usability and expansibility.
  • Keywords
    content-based retrieval; image retrieval; mean square error methods; public domain software; search engines; LIRE system framework; Lucene image retrieval; content-based image retrieval; image search algorithm; mean square difference sequencing algorithm; open source image retrieval system; open source project; search engine; sequencing algorithm; CBIR LIRE; Image Retrieval; MPEG-7; Search Engine; Sort With Variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6526054
  • Filename
    6526054