• DocumentCode
    2720660
  • Title

    Research on Feature Extraction Technology of Competition Video Shot

  • Author

    Wang, Qian ; Liu, Bin

  • Author_Institution
    Dept. of Phys. Educ., Inst. of Disaster Prevention, Beijing, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1381
  • Lastpage
    1384
  • Abstract
    The paper introduces theory of spatial scales as well as the processes of extracting planar SIFT characters in details. Meanwhile, aiming at defects of SIFT features, the paper proposes an improved SIFT characters. Firstly, extract SIFT characters for all frame images in the shot, and then screen them through the thought of spatio-temporal interest point, the process of which can separate parts of movements and background in the shot effectively. The screened SIFT characters can demonstrate video content of sports news in an effective manner. Results of the research indicate that mark precision of marking method in the paper is higher than other approaches.
  • Keywords
    feature extraction; transforms; video signal processing; competition video shot; feature extraction technology; frame images; improved SIFT characters; mark precision; marking method; spatial scales; spatio-temporal interest point; video content; Data mining; Feature extraction; Hidden Markov models; Image color analysis; Lenses; Support vector machines; Training; SIFT; feature extraction; video shot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.348
  • Filename
    6394586