• DocumentCode
    179240
  • Title

    Exploring the use of ENF for multimedia synchronization

  • Author

    Hui Su ; Hajj-Ahmad, Adi ; Min Wu ; Oard, Douglas W.

  • Author_Institution
    Univ. of Maryland, College Park, MD, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    4613
  • Lastpage
    4617
  • Abstract
    The electric network frequency (ENF) signal can be captured in multimedia recordings due to electromagnetic influences from the power grid at the time of recording. Recent work has exploited the ENF signals for forensic applications, such as authenticating and detecting forgery of ENF-containing multimedia signals, and inferring their time and location of creation. In this paper, we explore a new potential of ENF signals for automatic synchronization of audio and video. The ENF signal as a time-varying random process can be used as a timing fingerprint of multimedia signals. Synchronization of audio and video recordings can be achieved by aligning their embedded ENF signals. We demonstrate the proposed scheme with two applications: multi-view video synchronization and synchronization of historical audio recordings. The experimental results show the ENF based synchronization approach is effective, and has the potential to solve problems that are intractable by other existing methods.
  • Keywords
    audio recording; electromagnetic interference; random processes; synchronisation; video recording; ENF signal; electric network frequency signal; forensic applications; historical audio recording automatic synchronization; multimedia recordings; multimedia signal timing fingerprint; multiview video recording automatic synchronization; power grid; time-varying random process; Audio recording; Forensics; Frequency estimation; Multimedia communication; Streaming media; Synchronization; Video recording; ENF; audio; historical recordings; synchronization; video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854476
  • Filename
    6854476