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
Link To Document :
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