Paper Info
Title
Fractional-sample motion compensation using generalized interpolation
Abstract
Typical interpolation methods in video coding perform filtering of reference picture samples using FIR filters for motion-compensated prediction. This process can be viewed as a signal decomposition using basis functions which are restricted by the interpolating constraint. Using the concept of generalized interpolation provides a greater degree of freedom for selecting basis functions. We implemented generalized interpolation using a combination of IIR and FIR filters. The complexity of the proposed scheme is comparable to that of an 8-tap FIR filter. Bit rate savings up to 20% compared to the H.264/AVC 6-tap filter are shown.
Year
DOI
Venue
2010
10.1109/PCS.2010.5702555
Picture Coding Symposium
Keywords
Field
DocType
FIR filters,IIR filters,interpolation,motion compensation,video coding,FIR filters,IIR filters,interpolation methods,motion compensation,reference picture sample,signal decomposition,video coding,B-splines,motion-compensated prediction,reference picture upsampling,video coding
Nearest-neighbor interpolation,Spline interpolation,Control theory,Interpolation,Artificial intelligence,Trilinear interpolation,Computer vision,Multivariate interpolation,Bicubic interpolation,Algorithm,Stairstep interpolation,Mathematics,Bilinear interpolation
Conference
ISBN
Citations 
PageRank 
978-1-4244-7134-8
4
0.92
References 
Authors
8
4
Name
Order
Citations
PageRank
Haricharan Lakshman132830.58
Benjamin Bross241.26
Heiko Schwarz341.60
Thomas Wiegand4746110.32