• DocumentCode
    2457836
  • Title

    Recent advances in content based video copy detection

  • Author

    Shinde, S.R. ; Chiddarwar, G.G.

  • Author_Institution
    Dept. of Comput. Eng., Sinhgad Coll. of Eng., Pune, India
  • fYear
    2015
  • fDate
    8-10 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the immense number of videos being uploaded to the video sharing sites, issue of copyright infringement arises with uploading of illicit copies or transformed versions of original video. Thus safeguarding copyright of digital media has become matter of concern. To address this concern, it is obliged to have a video copy detection system which is sufficiently robust to detect these transformed videos with ability to pinpoint location of copied segments. This paper outlines recent advancement in content based video copy detection, mainly focusing on different visual features employed by video copy detection systems. Finally we evaluate performance of existing video copy detection systems.
  • Keywords
    copyright; feature extraction; object detection; video watermarking; content based video copy detection; copyright infringement; digital media copyright; transformed video detection; video sharing sites; video watermarking algorithm; visual features; Accuracy; Feature extraction; Image color analysis; Robustness; Video sequences; Visualization; Watermarking; Copyright protection; MUSCLE-VCD; TRECVID; content based video copy detection; feature descriptor; feature extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing (ICPC), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/PERVASIVE.2015.7087093
  • Filename
    7087093