Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2008 IEEE 10th Workshop on Multimedia Signal Processing |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 838-843 |
| Seitenumfang | 6 |
| ISBN (Print) | 978-1-4244-2294-4 |
| Publikationsstatus | Veröffentlicht - 5 Nov. 2008 |
| Extern publiziert | Ja |
| Veranstaltung | 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 - Cairns, QLD, Australien Dauer: 8 Okt. 2008 → 10 Okt. 2008 |
Abstract
The characteristics of modern video signal processing algorithms are significantly influenced by a multitude of different configuration parameters. Hence, the selection of an optimum parameter set becomes a difficult task, since often various quality metrics have to be regarded, leading to a so-called multi-objective optimization problem. Furthermore, the high computational effort typically restricts the maximum possible number of simulated parameter configurations. Therefore, a flexible environment for multi-objective optimization of configuration parameters has been elaborated which uses Evolutionary Algorithms to efficiently explore the design-space. This environment is applied here for a detailed analysis and Pareto-optimization of a complex state-of-the-art motion estimation algorithm being used for frame rate conversion.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Informatik (insg.)
- Signalverarbeitung
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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2008 IEEE 10th Workshop on Multimedia Signal Processing. Institute of Electrical and Electronics Engineers Inc., 2008. S. 838-843.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Design of a pareto-optimization environment and its application to motion estimation
AU - Von Livonius, J.
AU - Blume, H.
AU - Noll, T. G.
PY - 2008/11/5
Y1 - 2008/11/5
N2 - The characteristics of modern video signal processing algorithms are significantly influenced by a multitude of different configuration parameters. Hence, the selection of an optimum parameter set becomes a difficult task, since often various quality metrics have to be regarded, leading to a so-called multi-objective optimization problem. Furthermore, the high computational effort typically restricts the maximum possible number of simulated parameter configurations. Therefore, a flexible environment for multi-objective optimization of configuration parameters has been elaborated which uses Evolutionary Algorithms to efficiently explore the design-space. This environment is applied here for a detailed analysis and Pareto-optimization of a complex state-of-the-art motion estimation algorithm being used for frame rate conversion.
AB - The characteristics of modern video signal processing algorithms are significantly influenced by a multitude of different configuration parameters. Hence, the selection of an optimum parameter set becomes a difficult task, since often various quality metrics have to be regarded, leading to a so-called multi-objective optimization problem. Furthermore, the high computational effort typically restricts the maximum possible number of simulated parameter configurations. Therefore, a flexible environment for multi-objective optimization of configuration parameters has been elaborated which uses Evolutionary Algorithms to efficiently explore the design-space. This environment is applied here for a detailed analysis and Pareto-optimization of a complex state-of-the-art motion estimation algorithm being used for frame rate conversion.
UR - http://www.scopus.com/inward/record.url?scp=58049083120&partnerID=8YFLogxK
U2 - 10.1109/MMSP.2008.4665190
DO - 10.1109/MMSP.2008.4665190
M3 - Conference contribution
AN - SCOPUS:58049083120
SN - 978-1-4244-2294-4
SP - 838
EP - 843
BT - 2008 IEEE 10th Workshop on Multimedia Signal Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Y2 - 8 October 2008 through 10 October 2008
ER -