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 :
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