Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2018 IEEE International Conference on Image Processing |
| Untertitel | ICIP 2018 - Proceedings |
| Herausgeber (Verlag) | IEEE Computer Society |
| Seiten | 3593-3597 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9781479970612 |
| Publikationsstatus | Veröffentlicht - 29 Aug. 2018 |
| Veranstaltung | 25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Griechenland Dauer: 7 Okt. 2018 → 10 Okt. 2018 |
Publikationsreihe
| Name | Proceedings - International Conference on Image Processing, ICIP |
|---|---|
| ISSN (Print) | 1522-4880 |
Abstract
In this work, we derive the rate-distortion function for video coding using affine global motion compensation. We model the displacement estimation error during motion estimation and obtain the bit rate after applying the rate-distortion theory. We assume that the displacement estimation error is caused by a perturbed affine transformation. The 6 affine transformation parameters are assumed statistically independent, with each of them having a zero-mean Gaussian distributed estimation error. Based on that, the joint p.d.f. of the displacement estimation errors is derived and related to the prediction error. Using the ratedistortion theory, we calculate the bit rate in dependence of the perturbation of the affine transformation parameters. Comparing with a translational motion model in video coding standards like HEVC, we determine accuracy boundaries for the affine transformation, with which a gain can be achieved.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Maschinelles Sehen und Mustererkennung
- Informatik (insg.)
- Signalverarbeitung
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- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2018 IEEE International Conference on Image Processing: ICIP 2018 - Proceedings. IEEE Computer Society, 2018. S. 3593-3597 8451136 (Proceedings - International Conference on Image Processing, ICIP).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Rate-Distortion Theory for Affine Global Motion Compensation in Video Coding
AU - Meuel, Holger
AU - Ferenz, Stephan
AU - Liu, Yiqun
AU - Ostermann, Jorn
PY - 2018/8/29
Y1 - 2018/8/29
N2 - In this work, we derive the rate-distortion function for video coding using affine global motion compensation. We model the displacement estimation error during motion estimation and obtain the bit rate after applying the rate-distortion theory. We assume that the displacement estimation error is caused by a perturbed affine transformation. The 6 affine transformation parameters are assumed statistically independent, with each of them having a zero-mean Gaussian distributed estimation error. Based on that, the joint p.d.f. of the displacement estimation errors is derived and related to the prediction error. Using the ratedistortion theory, we calculate the bit rate in dependence of the perturbation of the affine transformation parameters. Comparing with a translational motion model in video coding standards like HEVC, we determine accuracy boundaries for the affine transformation, with which a gain can be achieved.
AB - In this work, we derive the rate-distortion function for video coding using affine global motion compensation. We model the displacement estimation error during motion estimation and obtain the bit rate after applying the rate-distortion theory. We assume that the displacement estimation error is caused by a perturbed affine transformation. The 6 affine transformation parameters are assumed statistically independent, with each of them having a zero-mean Gaussian distributed estimation error. Based on that, the joint p.d.f. of the displacement estimation errors is derived and related to the prediction error. Using the ratedistortion theory, we calculate the bit rate in dependence of the perturbation of the affine transformation parameters. Comparing with a translational motion model in video coding standards like HEVC, we determine accuracy boundaries for the affine transformation, with which a gain can be achieved.
KW - Aerial Video Coding
KW - Affine Transformations
KW - Efficiency Analysis
KW - Global Motion Compensation
KW - GMC
KW - Rate-Distortion Theory
KW - ROI Coding
UR - http://www.scopus.com/inward/record.url?scp=85062898299&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2018.8451136
DO - 10.1109/ICIP.2018.8451136
M3 - Conference contribution
AN - SCOPUS:85062898299
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3593
EP - 3597
BT - 2018 IEEE International Conference on Image Processing
PB - IEEE Computer Society
T2 - 25th IEEE International Conference on Image Processing, ICIP 2018
Y2 - 7 October 2018 through 10 October 2018
ER -