• DocumentCode
    2133455
  • Title

    The research and implementation of keyframe extracion methods in content-based teaching video retrieval

  • Author

    Lanying, Huang ; Cong-huan, Ye

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Hubei Eng. Univ., Xiaogan, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    2179
  • Lastpage
    2182
  • Abstract
    The paper discusses the current key frame extraction technology based on the characteristics of teaching video. An experiment system of key frame extraction has been designed based on color feature. The algorithms, which are based on the Histogram average method, content analysis, shot boundary extraction, Kernel Clustering method and so on, have been achieved and and its characteristics are summarized.
  • Keywords
    computer aided instruction; content-based retrieval; edge detection; feature extraction; image colour analysis; pattern clustering; teaching; video retrieval; color feature; content analysis; content-based teaching video retrieval; histogram average method; kernel clustering method; key frame extraction technology; shot boundary extraction; Computers; Data mining; Educational institutions; Entropy; Feature extraction; Mutual information; Nickel; color feature; histogram; keyframe; video retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4577-1414-6
  • Type

    conf

  • DOI
    10.1109/CECNet.2012.6202233
  • Filename
    6202233