• DocumentCode
    2424575
  • Title

    Information hiding in AVS compressed stream

  • Author

    Xingguang Song ; Su, Yuting ; Hu, Jing ; Ji, Zhong

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tianjin Univ., Tianjin
  • fYear
    2008
  • fDate
    7-9 July 2008
  • Firstpage
    988
  • Lastpage
    992
  • Abstract
    This paper presents a novel information hiding algorithm for AVS (audio video coding standard), taking advantage of the specific features of this self developed Chinese audio video compression standard. AVS adopts Exp-Golomb coding and context based adaptive variable length coding to solve the entropy coding problem, almost all the syntax elements are encoded using Exp-Golomb codes. In the compressed bitstream, hidden bits are embedded by modulating the corresponding Exp-Golomb code, which is based on the mapping rules between these codes and the hidden bits. The hiding positions are limited to maintain the quality of the reconstructed images. Hidden information can be retrieved by decoding the Exp-Golomb code from bitstream, requiring neither original media nor complete video decoding. The experimental results show that the hidden algorithm has little effect on the video quality and the bitrate hasnpsilat been changed.
  • Keywords
    adaptive codes; data compression; data encapsulation; entropy; variable length codes; video coding; AVS compressed stream; Chinese audio-video compression standard; Exp-Golomb coding; audio video coding standard; bitstream compression; context based adaptive variable length coding; entropy coding; information hiding; reconstructed image quality; syntax element encoding; video decoding; video quality; Decoding; Entropy coding; Image coding; Image reconstruction; Information retrieval; Modulation coding; Standards development; Streaming media; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1723-0
  • Electronic_ISBN
    978-1-4244-1724-7
  • Type

    conf

  • DOI
    10.1109/ICALIP.2008.4590099
  • Filename
    4590099