• DocumentCode
    727581
  • Title

    Spatial induction policies for scalable depth coding

  • Author

    Ward, Mitchell S. ; Taubman, David S. ; Mathew, Reji K.

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2015
  • fDate
    May 31 2015-June 3 2015
  • Firstpage
    45
  • Lastpage
    49
  • Abstract
    An edge-adaptive depth coding proposed in [1] uses a multi-resolution field of breakpoints to encode edges in a scene´s geometry. In order to remain efficient, this scheme uses spatial induction to infer the location of breakpoints from the surrounding geometry where possible. This intelligence means only a subset of the breakpoints need to be encoded. The original proposal employs a simple policy, using linear interpolation between known points to induce breakpoints. Whilst this is effective, a more sophisticated policy could better exploit the available breakpoint data in synthesising edges. This paper presents our findings regarding the potential benefits of higher order spatial induction policies (SIPs).
  • Keywords
    computational geometry; edge detection; image coding; image resolution; SIP; edge adaptive depth coding; edge encoding; image coding; multiresolution field; scalable depth coding; scene geometry; spatial induction; spatial induction policies; surrounding geometry; synthesising edges; Encoding; Geometry; Image coding; Image edge detection; Interpolation; Splines (mathematics); Transforms; depth coding; graphical model; scalable compression; wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2015
  • Conference_Location
    Cairns, QLD
  • Type

    conf

  • DOI
    10.1109/PCS.2015.7170044
  • Filename
    7170044