Paper Info
Title
Adaptive interpolation filter for H.264/AVC
Abstract
In order to reduce the bit-rate of video signals, current coding standards apply hybrid coding with motion-compensated prediction and transform coding of the prediction error. In former publications, it has been shown that aliasing components contained in an image signal, as well as motion blur are limiting the prediction efficiency obtained by motion compensation. In this paper, we show that the analytical calculation of an optimal interpolation filter at particular constraints is possible, resulting in total coding improvements of 20% at broadcast quality compared to the H.264/AVC High Profile. Furthermore, the spatial adaptation to local image characteristics enables further improvements of 0.15 dB for CIF sequences compared to globally adaptive filter or up to 0.6 dB, compared to the standard H.264/AVC. Additionally, we show that the presented approach is generally applicable, i.e., also motion blur can be exactly compensated, if particular constraints are fulfilled.
Year
DOI
Venue
2009
10.1109/TCSVT.2008.2009259
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
prediction efficiency,hybrid coding,current coding standard,avc high profile,total coding improvement,particular constraint,motion compensation,motion-compensated prediction,adaptive interpolation filter,prediction error,motion blur,redundancy,adaptive filters,transform coding,interpolation,wiener filter,adaptive filter
Computer vision,Quarter-pixel motion,Computer science,Context-adaptive variable-length coding,Motion compensation,Motion blur,Transform coding,Low-pass filter,Adaptive filter,Artificial intelligence,Context-adaptive binary arithmetic coding
Journal
Volume
Issue
ISSN
19
2
1051-8215
Citations 
PageRank 
References 
21
1.23
8
Authors
2
Name
Order
Citations
PageRank
Yuri Vatis1968.72
Joern Ostermann224517.66