• DocumentCode
    3562629
  • Title

    Fast block motion estimation using quadrant-based multi dodecagon search algorithm

  • Author

    Sudhakar ; Letitia

  • Author_Institution
    Comput. Sci. & Eng., SBC Eng. Coll., Arni, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The block matching motion estimation is a very time consuming part in video compression standard. In this paper, we propose anew fast motion estimation algorithm, which improves on the UMHexagonS search algorithm. The multi-hexagon-grid search pattern is replaced by a quadrant-based multi-dodecagon grid search (QBMDD) pattern in order to reduce the computational complexity and effectively predict the optimal motion vectors. The proposed algorithm can find a motion vector with fewer search points than the UMHexagonS algorithm. The simulation experimentation results show that the proposed algorithm has a better performance compared with the UMHexagonS algorithm and it reduces the number of search points and maintains similar peak signal noise ratio (PSNR) values, without loss of its coding accuracy.
  • Keywords
    computational complexity; data compression; motion estimation; video coding; PSNR values; QBMDD pattern; UMHexagonS search algorithm improvement; coding accuracy; computational complexity reduction; fast block motion estimation algorithm; multihexagon grid search pattern; optimal motion vector prediction; peak signal noise ratio values; quadrant-based multidodecagon grid search algorithm; search points; video compression standard; Algorithm design and analysis; Computational complexity; Motion estimation; Pattern matching; Prediction algorithms; Vectors; Video sequences; Block matching; UMHexagonS; motion estimation; multi-dodecagon search; video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science Engineering and Management Research (ICSEMR), 2014 International Conference on
  • Print_ISBN
    978-1-4799-7614-0
  • Type

    conf

  • DOI
    10.1109/ICSEMR.2014.7043586
  • Filename
    7043586