• DocumentCode
    2953417
  • Title

    An effective method to detect seal images from traditional Chinese paintings

  • Author

    Bao, Hong ; De Xu ; Feng, Songhe

  • Author_Institution
    Inst. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2009
  • fDate
    13-15 Nov. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    At present, more and more traditional Chinese paintings (TCPs) have been digitized and exhibited on the Internet. How to effectively brose and retrieve these images have emerged as a hot topic. Most existing algorithms typically use the global color and texture low-level visual features to describe the content of the traditional Chinese paintings, where the semantic information has been omitted. As an important semantic cue in a traditional Chinese painting, the seal information can provide rich and important semantic meanings to describe the images. To this end, this paper proposed an effective method to detect the seal images from traditional Chinese paintings. The experimental results have demonstrated the effectiveness of the propose method.
  • Keywords
    art; feature extraction; image recognition; Chinese paintings; seal image; seal information; semantic information; semantic meaning; Autocorrelation; Brushes; Digital images; Feature extraction; Image retrieval; Information technology; Ink; Internet; Painting; Seals; Color model; Seal image extraction; Template matching; Traditional Chinese paintings; structure features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4856-2
  • Electronic_ISBN
    978-1-4244-5668-0
  • Type

    conf

  • DOI
    10.1109/WCSP.2009.5371700
  • Filename
    5371700