Name
Abstract | ||
|---|---|---|
A deinterlacing algorithm that is based on rough set theory is researched and applied. In this paper, rough sets serve as a tool for data analysis and knowledge discovery from test sequences. The proposed deinterlacing approach employs a size reduction of the database system, keeping only the essential information for the process. This approach automatically selects the best deinterlacing approach. Decision making and interpolation results are presented. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICME.2007.4285057 | 2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5 |
Keywords | Field | DocType |
deinterlacing, rough set theory, information system, reduct, core | Information system,Computer vision,Data mining,Reduct,Pattern recognition,Computer science,Deinterlacing,Interpolation,Rough set,Size reduction,Knowledge extraction,Artificial intelligence | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gwanggil Jeon | 1 | 596 | 117.99 |
| Junho Won | 2 | 0 | 0.34 |
| Rokkyu Lee | 3 | 7 | 2.51 |
| Jechang Jeong | 4 | 1002 | 141.22 |