• DocumentCode
    169696
  • Title

    Generation of Metadata Using Content-Based Image Retrieval System

  • Author

    Sun-A Lee ; Min-Uk Kim ; Kyoungro Yoon

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Konkuk Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    6-9 May 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    For efficient data management, we propose a system which generates metadata for image contents. This system is using Content-Based Image Retrieval System (CBIR) based on Mpeg-7 descriptors. First, low-level features are extracted from the query image without metadata and the images with similar low-level features are retrieved from the CBIR system. Metadata of the result images which are similar to the query image are extracted from the metadata database. From the resulting metadata, common keywords are extracted and proposed as the keywords for the query image.
  • Keywords
    content-based retrieval; feature extraction; image retrieval; meta data; CBIR; Mpeg-7 descriptors; content-based image retrieval system; data management; image contents; low-level features; metadata generation; query image; Feature extraction; Image color analysis; Image edge detection; Image retrieval; Multimedia communication; Multimedia databases; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2014 International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-4443-9
  • Type

    conf

  • DOI
    10.1109/ICISA.2014.6847406
  • Filename
    6847406