• DocumentCode
    3431873
  • Title

    Device identification based on H.264 cues

  • Author

    Xiaochun Cao ; Siyuan Li ; Feng Jiang ; Hua Zhang ; Ling Du ; Xiangui Kang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2013
  • fDate
    6-10 July 2013
  • Firstpage
    452
  • Lastpage
    455
  • Abstract
    With the rapid development of multimedia techniques, the video can easily be edited and tempered. To determine whether a video has been modified from its original recording has become a critical challenge. Thanks to the flexibility of H.264, we observe that different H.264 video parameters are used by various manufacturers. We propose a video capturing device identification approach by exploring the H.264 cues. Two main video dependent features are exploited: 1) H.264 encoding parameters which rely on motion-vector analysis, entropy coding, encoding quality and level, GOP information, etc. 2) The other is the video encapsulation formats. The former is to judge whether the video is taken by cellphone, while the latter is utilized to identify the video source. In the experimental part, we evaluate our proposed approach on our collected video dataset, and demonstrate the efficiency of our method.
  • Keywords
    video coding; GOP information; H.264 cues; H.264 encoding parameters; H.264 video parameters; encoding quality; entropy coding; motion-vector analysis; multimedia techniques; video capturing device identification approach; video dependent features; video encapsulation formats; Authentication; Encapsulation; Entropy coding; Mobile handsets; Standards; Vectors; GOP; Video capturing device identification; encode quality; motion vector analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2013.6625380
  • Filename
    6625380