Details
Original language | English |
---|---|
Article number | 4703262 |
Pages (from-to) | 179-192 |
Number of pages | 14 |
Journal | IEEE Transactions on Circuits and Systems for Video Technology |
Volume | 19 |
Issue number | 2 |
Publication status | Published - Dec 2008 |
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.
Keywords
- Adaptive filter, Interpolation, Motion compensation, Video coding
ASJC Scopus subject areas
- Engineering(all)
- Media Technology
- Engineering(all)
- Electrical and Electronic Engineering
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In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 19, No. 2, 4703262, 12.2008, p. 179-192.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Adaptive Interpolation Filter for H.264/AVC
AU - Vatis, Yuri
AU - Ostermann, Joern
PY - 2008/12
Y1 - 2008/12
N2 - 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.
AB - 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.
KW - Adaptive filter
KW - Interpolation
KW - Motion compensation
KW - Video coding
UR - http://www.scopus.com/inward/record.url?scp=59649096799&partnerID=8YFLogxK
U2 - 10.1109/TCSVT.2008.2009259
DO - 10.1109/TCSVT.2008.2009259
M3 - Article
AN - SCOPUS:59649096799
VL - 19
SP - 179
EP - 192
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
SN - 1051-8215
IS - 2
M1 - 4703262
ER -