• DocumentCode
    1783907
  • Title

    Regular Clipping Detection of Image Based on SIFT

  • Author

    Huang Yan Li ; Cui Hao Liang ; Niu Shao Zhang

  • Author_Institution
    Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    638
  • Lastpage
    641
  • Abstract
    For the issues that the cropped level of image is detected and the cropped region of image is determined, a new scheme is proposed that is based on SIFT (Scale-invariant feature transform) for the regular clipping operation under the situation of existing original image. Features points of original and testing images are extracted by SIFT algorithm, and the matching are done between the corresponding features points. According to the relative position relations among matching points, the scaling of testing images corresponding to the original can be calculated, and further the cropped region can be determined. The experimental results show that the detection way works well for the regular clipping.
  • Keywords
    feature extraction; image matching; transforms; SIFT; feature point extraction; feature point matching; regular clipping detection; scale-invariant feature transform; Computer vision; Euclidean distance; Feature extraction; Histograms; Multimedia communication; Testing; Vectors; SIFT; feature points; regular clipping; scale ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-5389-9
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2014.165
  • Filename
    6998410