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
Link To Document