• DocumentCode
    242755
  • Title

    Rotation Invariant Detection Using Image Identifier

  • Author

    Ishikawa, Takaaki ; Je-Ho Park

  • Author_Institution
    JuGeMu Co., Ltd., Tokyo, Japan
  • fYear
    2014
  • fDate
    28-30 Oct. 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    When identification metadata for images in a massive database contains necessary information for detection of rotation of an image, it would be quite efficient in terms of image database management and detection of duplicated images. In this paper, we discuss how the image identifiers can be used for detection of rotated duplicates of an image and provide the experimental results. From the experimental evaluation, we conjecture that our proposed image identifier can be utilized for the given objective effectively.
  • Keywords
    meta data; object detection; visual databases; duplicated image detection; identification metadata; image database management; image identifier; rotation invariant detection; Discrete cosine transforms; Feature extraction; Image databases; Image edge detection; Image segmentation; Standards; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT Convergence and Security (ICITCS), 2014 International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ICITCS.2014.7021807
  • Filename
    7021807