• 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