Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9781538644584 |
| Publikationsstatus | Veröffentlicht - 2 Juli 2018 |
| Veranstaltung | 33rd IEEE International Conference on Visual Communications and Image Processing, VCIP 2018 - Taichung, Taiwan Dauer: 9 Dez. 2018 → 12 Dez. 2018 |
Abstract
In this work, we derive the rate-distortion function for video coding using the simplified affine, 4-parameter motion compensation model as it is used in the Joint Exploration Model (JEM) by the Joint Video Exploration Team (JVET) on Future Video coding. We model the displacement estimation error during motion estimation and obtain the bit rate by applying the rate-distortion theory. We assume that the displacement estimation error is caused by perturbed parameters of the simplified affine model. These transformation parameters are assumed statistically independent, with each of them having a zero-mean Gaussian distributed estimation error. The joint probability density function (p.d.f.) of the displacement estimation errors is derived and related to the prediction error. We calculate the bit rate as a function of the accuracy of the parameter estimation for the simplified affine motion model. Finally, we compare our results with a translational motion model as used in video coding standards like HEVC as well as with a full affine motion model with 6 degrees of freedom. For aerial sequences containing distinct affine motion, the minimum required bit rate to encode the prediction error can be significantly reduced from 2.5 bit/sample to 0.02 bit/sample for a reasonable operating point and a block size of 64×64 pel2.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Signalverarbeitung
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VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing. Institute of Electrical and Electronics Engineers Inc., 2018. 8698702.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Rate-Distortion Theory for Simplified Affine Motion Compensation Used in Video Coding
AU - Meuel, Holger
AU - Ferenz, Stephan
AU - Liu, Yiqun
AU - Ostermann, Jorn
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In this work, we derive the rate-distortion function for video coding using the simplified affine, 4-parameter motion compensation model as it is used in the Joint Exploration Model (JEM) by the Joint Video Exploration Team (JVET) on Future Video coding. We model the displacement estimation error during motion estimation and obtain the bit rate by applying the rate-distortion theory. We assume that the displacement estimation error is caused by perturbed parameters of the simplified affine model. These transformation parameters are assumed statistically independent, with each of them having a zero-mean Gaussian distributed estimation error. The joint probability density function (p.d.f.) of the displacement estimation errors is derived and related to the prediction error. We calculate the bit rate as a function of the accuracy of the parameter estimation for the simplified affine motion model. Finally, we compare our results with a translational motion model as used in video coding standards like HEVC as well as with a full affine motion model with 6 degrees of freedom. For aerial sequences containing distinct affine motion, the minimum required bit rate to encode the prediction error can be significantly reduced from 2.5 bit/sample to 0.02 bit/sample for a reasonable operating point and a block size of 64×64 pel2.
AB - In this work, we derive the rate-distortion function for video coding using the simplified affine, 4-parameter motion compensation model as it is used in the Joint Exploration Model (JEM) by the Joint Video Exploration Team (JVET) on Future Video coding. We model the displacement estimation error during motion estimation and obtain the bit rate by applying the rate-distortion theory. We assume that the displacement estimation error is caused by perturbed parameters of the simplified affine model. These transformation parameters are assumed statistically independent, with each of them having a zero-mean Gaussian distributed estimation error. The joint probability density function (p.d.f.) of the displacement estimation errors is derived and related to the prediction error. We calculate the bit rate as a function of the accuracy of the parameter estimation for the simplified affine motion model. Finally, we compare our results with a translational motion model as used in video coding standards like HEVC as well as with a full affine motion model with 6 degrees of freedom. For aerial sequences containing distinct affine motion, the minimum required bit rate to encode the prediction error can be significantly reduced from 2.5 bit/sample to 0.02 bit/sample for a reasonable operating point and a block size of 64×64 pel2.
KW - Aerial Video Coding
KW - Affine Transformations
KW - Efficiency Analysis
KW - Global Motion Compensation
KW - GMC
KW - JEM
KW - JVET
KW - Rate-Distortion Theory
UR - http://www.scopus.com/inward/record.url?scp=85065414748&partnerID=8YFLogxK
U2 - 10.1109/vcip.2018.8698702
DO - 10.1109/vcip.2018.8698702
M3 - Conference contribution
AN - SCOPUS:85065414748
BT - VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd IEEE International Conference on Visual Communications and Image Processing, VCIP 2018
Y2 - 9 December 2018 through 12 December 2018
ER -