• DocumentCode
    1582142
  • Title

    Frame reconstruction by double motion estimation of affine parameters

  • Author

    Ponla, Saranta ; Auethavekiat, Supatana ; Phongsuphap, Sukanya

  • Author_Institution
    Mahidol Univ., Bangkok, Thailand
  • fYear
    2010
  • Firstpage
    1007
  • Lastpage
    1012
  • Abstract
    In video frame rate conversion, unavailable frames are reconstructed from existing frames based on interpolated motion vectors. Due to an error in estimating motion vectors and an occlusion effect, it is possible that intensity information is not provided to every pixel in the reconstructed frame. Pixels whose intensity is missing become holes in the reconstructed frame. This paper proposes the reconstruction without distinct holes by double motion vector estimation. Motion is described by affine model instead of the conventional 2D translation model. The proposed method applies block based motion estimation. It is divided into 2 stages: frame reconstruction and hole filling. In the reconstruction stage, a new frame is reconstructed by moving blocks in previous frames according to their interpolated motion vectors. Holes in the newly reconstructed frame are then filled with the corresponding pixels in the subsequent frame. The proposed method searches for the corresponding pixels by looking for the region in the subsequent frames that are similar to the surrounding region of each hole. The computation cost in the proposed method is low because the motion estimation is simple and applied only twice. It does not use any complex processes to fill holes. Experiments on three standard video sequences showed that our proposed method reconstructed frames in complex video sequence without noticeable holes.
  • Keywords
    affine transforms; image sequences; interpolation; motion estimation; 2D translation model; affine parameter; double motion vector estimation; frame reconstruction; hole filling; video frame rate conversion; video sequences; Filling; Image reconstruction; Interpolation; Motion estimation; PSNR; Pixel; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2010 International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-7007-5
  • Electronic_ISBN
    978-1-4244-7009-9
  • Type

    conf

  • DOI
    10.1109/ISCIT.2010.5665136
  • Filename
    5665136