• DocumentCode
    527718
  • Title

    Classification based on SVM of cultural relic videos´ key frame

  • Author

    Yaqi, Hu ; Zhai Guangyu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    867
  • Lastpage
    870
  • Abstract
    For the question of how to classification of cultural relic videos, this paper put forward the analysis method based on semantic and it´s two-steps in classification of video: Firstly, based on algorithm that has been used, separating the cultural relic shots and extracting the key frames; Then extracting the features of the key frames. Next training classification of the key frames´ features using SVM. The system composed by the two steps´ algorithms implementing classification of cultural relic video. Experiments show this method can better classify based on the characteristics of cultural relic videos then other methods.
  • Keywords
    feature extraction; history; pattern classification; support vector machines; video signal processing; SVM; cultural relic video classification; feature extraction; key frame extraction; Classification algorithms; Cultural differences; Feature extraction; Pixel; Semantics; Support vector machines; Videos; SVM; classification of video; cultural relic; key frame; semantic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583915
  • Filename
    5583915