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.
Details
- External Organisation(s)
-
RWTH Aachen University
- Type
- Conference contribution
- Pages
- 838-843
- No. of pages
- 6
- Publication date
- 05.11.2008
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design, Signal Processing, Electrical and Electronic Engineering
- Electronic version(s)
-
https://doi.org/10.1109/MMSP.2008.4665190 (Access:
Closed
)
