• DocumentCode
    3324759
  • Title

    A ROI encryption scheme for H.264 video based on moving object detection

  • Author

    Jiayun Xu ; Jie Guo ; Jiali Bao

  • Author_Institution
    Sch. of Inf. Security Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    494
  • Lastpage
    497
  • Abstract
    To protect the privacy in the surveillance video, a selective encryption scheme for region of interest (ROI) of H.264 video is proposed in this paper. By only encrypting the content of ROIs, the most important part of video can be protected with less cost and operation. The technique of moving object detection is employed to locate the ROIs in the video automatically. There is no need to transmit additional position information of ROIs to the end of decryption. ROI is encrypted with other area unchanged under the mechanism of Flexible Macroblock Ordering (FMO). A new encryption algorithm is designed to modify both luminance component and chrominance components to achieve good encryption quality and location accuracy. In decryption, the encrypted area is located automatically, and the encrypted video is decrypted with the secret key. JM 18.4 software is employed to perform the simulation experiment. Experimental results present the accuracy and effectiveness of our scheme to encrypt and decrypt the ROIs in H.264 video.
  • Keywords
    brightness; object detection; private key cryptography; video coding; video surveillance; FMO; H.264 video; JM 18.4 software; ROI encryption scheme; chrominance components; encryption algorithm; flexible macroblock ordering; luminance component; moving object detection surveillance video; position information; region of interest; secret key; selective encryption scheme; Encryption; Gaussian mixture model; Surveillance; Watermarking; Flexible Macroblock Ordering; Gaussian Mixture Model; Region of Interest; Selective Video Encryption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/IMSNA.2013.6743323
  • Filename
    6743323