DocumentCode
2335306
Title
Pattern matching assisted motion estimation and motion vector histogram analysis for interlaced-to-progressive conversion
Author
Yang, Seungioon ; Lee, Youngho ; Lee, Sung Hee ; Park, Rae-Hong
Author_Institution
Digital Media R&D Center, Samsung Electron. Co. Ltd, Suwon, South Korea
Volume
3
fYear
2002
fDate
2002
Abstract
Motion compensated interlaced-to-progressive conversion (MC-IPC) methods employ implicit decision on whether to use the estimated motion vectors in order to prevent spurious errors due to poorly estimated motion vectors. This often limits the performance of the MC-IPC. We present an IPC method based on the pattern matching assisted motion estimation and motion vector histogram analysis. The proposed method employs an explicit decision on whether to use the estimated motion vectors. Extensive experiments show that high quality IPC can be achieved without spurious errors.
Keywords
image sequences; motion compensation; motion estimation; pattern matching; statistical analysis; video signal processing; DVD; MC-IPC; estimated motion vectors; interlaced-to-progressive conversion; motion compensated interlaced-to-progressive conversion; motion vector histogram analysis; pattern matching assisted motion estimation; test sequences; video sequences; Degradation; Displays; Histograms; Motion analysis; Motion estimation; Pattern analysis; Pattern matching; Research and development; Robustness; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7622-6
Type
conf
DOI
10.1109/ICIP.2002.1038981
Filename
1038981
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