• DocumentCode
    3118255
  • Title

    A Low Complexity Error Concealment Method for H.264 Video Coding Facilitating Hardware Realization

  • Author

    Chang, Tao-Cheng ; Shen, Hung-Wei ; Guo, Jiun-In

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    This paper presents a new error concealment algorithm, which is suitable for the H.264/AVC coding standard and the hardware implementation. This algorithm can be dividing into two major categories. In the spatial domain, we use the reliable neighboring pixel values with edge detection method to conceal all the lost pixels in the block. In the temporal domain, we propose a variable block size error concealment method. It consists of a block size determination step to determine the type of the lost macro-block and a motion vector recovery step to find the optimal motion vector from the current frame. In the block size determination step, we propose a criterion to determine the size type of the lost block from the neighbor´s macro-blocks. In the motion vector recovery step, the optimal motion vector for the lost block chosen from the neighbor´s block in the current frame. And it is the minimum value of the side match distortion of the lost block. This proposed algorithm can not only determine the most correct mode for the lost block in a easy way, but also save the much more computation time for error concealment, which is more suitable for hardware implementation.
  • Keywords
    error detection; motion compensation; video coding; AVC coding standard; H.264 video coding; block size error concealment method; edge detection method; error concealment method; hardware implementation; motion vector recovery step; spatial domain; Automatic voltage control; Computer errors; Computer science; Decoding; Hardware; Image edge detection; Interpolation; Transform coding; Video coding; Video compression; Error concealment; H.264;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Systems, Algorithms, and Networks (ISPAN), 2009 10th International Symposium on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4244-5403-7
  • Type

    conf

  • DOI
    10.1109/I-SPAN.2009.130
  • Filename
    5381586