• DocumentCode
    3723524
  • Title

    Video tamper detection techniques based on DCT-SVD and multi-level SVD

  • Author

    Amol V. Dabhade;Yogesh J. Bhople;K. Chandrasekaran;Swapan Bhattacharya

  • Author_Institution
    Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The videos are widely used nowadays for different purposes. But due to easily available software tools, it has become very easy to modify the videos. The videos sent from one end to other can be tampered maliciously in between. The frames in the video can be edited or the sequence of the frames can be altered or even some frames can be deleted, any such malicious alteration is possible. Thus it is very necessary to verify integrity of video data to ensure trustworthiness of the information content. In many cases, such as surveillance, medical, forensic investigations it is necessary to consider authenticity of the video. If there is any tampering in the video, it must be detected. Therefore, there is need to do some work for developing such tamper detection system so that information in a video can be verified. In this paper we propose mechanisms for detecting any such tampering in a video.
  • Keywords
    "Discrete cosine transforms","Authentication","Matrix decomposition","Digital signatures","Watermarking","Feature extraction","Image coding"
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2015 - 2015 IEEE Region 10 Conference
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-8639-2
  • Electronic_ISBN
    2159-3450
  • Type

    conf

  • DOI
    10.1109/TENCON.2015.7372763
  • Filename
    7372763