• DocumentCode
    1655151
  • Title

    Image Indexing Using Shape Feature

  • Author

    Zhao Qian ; Guo Hui-li

  • Author_Institution
    JiYuan Electr. Power Co., Jiyuan, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Based on the analysis of the traditional image retrieval in DCT compressed domain, a novel extraction algorithm is proposed in this paper. The DCT block is firstly classified into different edge type by exploiting five AC coefficients. Then, the edge spatial distribution map is constructed. According to the statistical feature of the map, the edge spatial distribution feature (ESDF) is presented. Meantime, the effect of the energy of DCT blocks on retrieval were considered, a weight is introduced into ESDF. The experiment results show that the new method has a good performance both in retrieval efficiency and effectiveness.
  • Keywords
    discrete cosine transforms; feature extraction; image retrieval; AC coefficients; DCT block; DCT compressed domain; ESDF; edge spatial distribution feature; edge spatial distribution map; image indexing; image retrieval; shape feature; Discrete cosine transforms; Feature extraction; Image coding; Image edge detection; Image retrieval; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6040542
  • Filename
    6040542