Name
Title | ||
|---|---|---|
Design of a Pareto-optimization environment and its application to motion estimation. |
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/MMSP.2008.4665190 | MMSP |
Keywords | Field | DocType |
motion estimation,evolutionary algorithm,accuracy,multi objective optimization,evolutionary algorithms,algorithm design and analysis,psnr,evolutionary computation,optimization | Mathematical optimization,Algorithm design,Evolutionary algorithm,Computer science,Evolutionary computation,Multi-objective optimization,Frame rate,Motion estimation,Optimization problem,Signal processing algorithms | Conference |
ISBN | Citations | PageRank |
978-1-4244-2295-1 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jörg Von Livonius | 1 | 12 | 1.93 |
| Holger Blume | 2 | 220 | 42.84 |
| Tobias G. Noll | 3 | 199 | 37.51 |