• DocumentCode
    2767936
  • Title

    Various techniques for low bit rate video coding

  • Author

    Mishra, Sangeeta ; Sawarkar, Sudhir

  • Author_Institution
    DMCE, Amravati, India
  • fYear
    2012
  • fDate
    19-20 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper various techniques for low bit rate video coding are studied and implemented. The selection of an optimal regular-shaped pattern set for very low bit-rate video coding, focusing on moving regions has been the objective of much recent research in order to try and improve bit-rate efficiency. An approach to Variable Size Block Matching is also implemented, based on the binary partitioning of blocks. If a particular block does not allow for accurate motion compensation, then it is split into two using the horizontal or vertical line that achieves the maximum reduction in motion compensation error. This method causes partitioning to occur along motion boundaries, thus substantially reducing blocking artifacts. In addition, small blocks are placed in regions of complex motion, while large blocks cover regions of uniform motion. Also the paper is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 7 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive algorithms like Adaptive Rood Pattern Search.
  • Keywords
    data compression; image matching; motion compensation; motion estimation; search problems; video coding; adaptive Rood pattern search; binary block partitioning; bit-rate efficiency improvement; block matching algorithms; blocking artifacts reduction; exhaustive search; low bit rate video coding; motion boundaries; motion compensation error; motion estimation; optimal regular-shaped pattern set selection; variable size block matching; video compression; Motion compensation; Motion estimation; PSNR; Pattern matching; Strips; Vectors; Video coding; Block matching; H.261; H.263; H.264; MPEG; motion estimation; video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4577-2077-2
  • Type

    conf

  • DOI
    10.1109/ICCICT.2012.6398221
  • Filename
    6398221