• DocumentCode
    2692030
  • Title

    An image copy detection scheme based on edge features

  • Author

    Lin, Chia-Chen ; Klara, Nahrstedt ; Hung, Chung-Juei

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Manage., Providence Univ., Taichung
  • fYear
    2008
  • fDate
    June 23 2008-April 26 2008
  • Firstpage
    665
  • Lastpage
    668
  • Abstract
    This paper presents a novel scheme to detect copied versions of digital images based on edge features of the images. The presented scheme is the first to explore the detection of ldquomerged copies.rdquo To successfully detect merged copies and shifted copies, a center detection mechanism is embedded in our scheme and two kinds of clustering approaches are adopted. Experimental results confirm that our scheme not only withstands most modifications of an original image but also offers good detection performance when dealing with various rotations, 32- or 64-pixels shifting, up to 66% cropping, or merged copies. Therefore, our presented scheme will be very helpful in detecting copies of digital images transmitted in an Internet environment.
  • Keywords
    edge detection; feature extraction; center detection mechanism; digital images; edge features; image copy detection scheme; merged copies; shifted copies; Computer science; Data mining; Digital images; Discrete cosine transforms; Gray-scale; Image databases; Image edge detection; Image processing; Information management; Internet; Image copy detection; edge detection; edge features; merged copies; shifting copies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2008 IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2570-9
  • Electronic_ISBN
    978-1-4244-2571-6
  • Type

    conf

  • DOI
    10.1109/ICME.2008.4607522
  • Filename
    4607522