Name
Abstract | ||
|---|---|---|
A motion adaptive algorithm for video de-interlacing is presented in this paper. It is based on a fuzzy inference system, which performs an interpolation between two linear techniques as a function of the motion level. Fuzzy systems with different number of ’if-then’ rules have been analyzed and compared in terms of complexity as well as efficiency in de-interlacing benchmark video sequences. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11893004_47 | KES |
Keywords | Field | DocType |
fuzzy motion adaptive algorithm,motion level,fuzzy system,fuzzy inference system,linear technique,different number,video de-interlacing,benchmark video sequence,motion adaptive algorithm,supervised learning | Block-matching algorithm,Neuro-fuzzy,Quarter-pixel motion,Computer science,Motion compensation,Algorithm,Adaptive neuro fuzzy inference system,Adaptive algorithm,Fuzzy number,Fuzzy rule | Conference |
Volume | ISSN | ISBN |
4252 | 0302-9743 | 3-540-46537-5 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Brox | 1 | 11 | 1.73 |
| I. Baturone | 2 | 9 | 1.01 |
| S. Sánchez-Solano | 3 | 79 | 9.82 |
| J. Gutiérrez-Ríos | 4 | 10 | 1.70 |
| F. Fernández-Hernández | 5 | 10 | 1.70 |