• DocumentCode
    896689
  • Title

    Block motion estimation using adaptive modified two-bit transform

  • Author

    Demir, B. ; Erturk, S.

  • Author_Institution
    Electron. & Telecommun. Eng. Dept., Kocaeli Univ. Lab. of Image & Signal Process.
  • Volume
    1
  • Issue
    2
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    215
  • Lastpage
    222
  • Abstract
    An adaptive modification to the two-bit transform-based low-complexity block motion estimation approach is proposed. Initially, video frames are converted into two-bit representations using the two-bit transform (2BT), and binary block-based motion estimation is performed using these two bit-planes. Modification to the original 2BT-based motion estimation scheme is introduced by conditional local or full searches using the mean absolute difference criterion to improve the initial motion estimation accuracy. The condition threshold is adaptively varied according to block detail using the block variance already computed for the 2BT process. Experimental results show that the proposed adaptive modified 2BT-based motion estimation technique can significantly improve peak signal-to-noise ratio performance compared with 2BT only motion estimation, and outperforms modified one-bit transform (1BT)-based motion estimation as well as modified 2BT-based motion estimation without adaptation at the same motion estimation cost. The main contribution of this work is to provide an adaptive decision on whether a modified search should be carried out after the low-complexity motion estimation process.
  • Keywords
    image representation; motion estimation; transforms; video coding; adaptive modified two-bit transform; binary block-based motion estimation; condition threshold; low-complexity block motion estimation; mean absolute difference criterion; modified one-bit transform; peak signal-to-noise ratio performance; two-bit representations; video frames;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9659
  • Type

    jour

  • DOI
    10.1049/iet-ipr:20060147
  • Filename
    4225404