A rough set approach for video deinterlacing

  • Jeon, Gwanggil
  • Won, Junho
  • Lee, Rokkyu
  • Jeong, Jechang
Citations

SCOPUS

1

초록

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.

키워드

CoreDeinterlacingInformation systemReductRough set theoryDatabase systemsDecision makingExhibitionsFuzzy setsKnowledge based systemsProblem solvingSet theoryStatistical methods(e ,2e) theory(e ,3e) processApplied (CO)Data analysisDe interlacing algorithmsDe-interlacinginternational conferencesKnowledge discovery (KDD)Rough SetsRough setssize reductionstest sequencesVideo de-interlacingRough set theory
제목
A rough set approach for video deinterlacing
저자
Jeon, Gwanggil Won, Junho Lee, Rokkyu Jeong, Jechang
DOI
10.1109/ICME.2007.4285057
발행일
2007-08
유형
Conference Paper
저널명
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
페이지
1942 ~ 1945