• DocumentCode
    3778211
  • Title

    A new detection algorithm for video tamper

  • Author

    Chen Xueyan; Shi Dai

  • Author_Institution
    School of Mechanical Engineering, Inner Mongolia University for the Nationalities, Tongliao 028000, China
  • Volume
    3
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1150
  • Lastpage
    1153
  • Abstract
    In the context of triple play the media business is exploding. Incidents that TV shows and Web videos are tampered maliciously occur occasionally. To solve this problem, a LOF-Co-Forest algorithm is proposed and applied to video tamper detection. Experimental results show that the algorithm can be applied to different types of video tamper detection, having obvious advantages with less labeled samples, effectively reducing the error rate of classifier and possessing good practical application value.
  • Keywords
    "Training","Classification algorithms","Entertainment industry","Color","Query processing","Biographies"
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2015 12th IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICEMI.2015.7494455
  • Filename
    7494455
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3778211