• DocumentCode
    2110470
  • Title

    Application of SVM Relevance Feedback Algorithms in Image Retrieval

  • Author

    Wang, Xuejun ; Yang, Lingling

  • Author_Institution
    Comput. & Inf. Eng. Dept., Shijiazhuang Railway Inst. Shijiazhuang, Shijiazhuang
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    210
  • Lastpage
    213
  • Abstract
    This paper takes the project of science and technology resources construction in Hebei Province as the background, on the foundation of introducing the science and technology resources image retrieval system structure, it emphasizes on the analysis of relevance feedback algorithm based on SVM (support vector machines) as well as itspsila application in the image retrieval of the science and technology resources. The experiments indicate that this method can accurately and effectively find out the images which are required by user, and improve the image retrieval efficiency effectively.
  • Keywords
    image retrieval; relevance feedback; support vector machines; SVM relevance feedback algorithms; image retrieval system structure; relevance feedback algorithm; support vector machines; SVM; content-based image retrieval; relevance feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering, 2008. ISISE '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-2727-4
  • Type

    conf

  • DOI
    10.1109/ISISE.2008.275
  • Filename
    4732202