• DocumentCode
    2456565
  • Title

    Perceptual Content Authentication and Tamper Detection of Facial Image

  • Author

    Han, Qi ; Qiong Li ; Niu, Xiamu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    12-14 Sept. 2009
  • Firstpage
    811
  • Lastpage
    814
  • Abstract
    Immersive sound spaces which are synthesized using virtual reality techniques have recently been developed to realize highly realistic telecommunication interactions. In real world soundscapes the sounds we usually listen to include background or ¿ambient¿ sounds such as the sounds of the ventilation system in a room. However, current virtual auditory display systems generate point sound sources which are often attributed to specific object locations. Therefore, it is possible to reproduce sound direction, but no information about the sound space is included. As a result, the sound output is often dry and unnatural. In this research, a rendering method for ambient sounds and its effects are investigated. An optimum rendering algorithm of ambient sounds is proposed and its effects on the quality of sound space are examined.
  • Keywords
    Gabor filters; authorisation; cryptography; image sequences; Gabor skeleton; facial image authentication; human vision perception; maximum Gabor correlation; media security; perceptual feature expression; robust image hash sequence; structure feature; tamper detection scheme; Authentication; Computer science; Computer security; Face detection; Humans; Image processing; Information security; Robustness; Signal processing; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-4717-6
  • Electronic_ISBN
    978-0-7695-3762-7
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2009.268
  • Filename
    5337086