• DocumentCode
    180284
  • Title

    A low-complexity and lossless reference frame encoder algorithm for video coding

  • Author

    Silveira, Dieison ; Povala, Guilherme ; Amaral, Livia ; Zatt, Bruno ; Agostini, Luciano ; Porto, Marcelo

  • Author_Institution
    Group of Archit. & Integrated Circuits - GACI, Fed. Univ. of Pelotas - UFPel, Pelotas, Brazil
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    7358
  • Lastpage
    7362
  • Abstract
    This paper presents a lossless coding solution to reduce the large overhead of external memory communication during the motion estimation process in current video coders. Our solution is called Differential Reference Frame Coder (DRFC), and uses two techniques together to compress the reference frame: a differential coding based on a simplified intra-prediction process to reduce the spatial redundancy of the reference samples, and a simple VLC applied to differential coding residues. The proposed solution reaches an average compression rate higher than 45% for the evaluated HD 1080p video sequences. This is a lossless and low-complexity solution, and could easily be implemented in hardware.
  • Keywords
    data compression; image sequences; motion estimation; redundancy; video coding; DRFC; HD 1080p video sequences; VLC; compression rate; differential coding residue; differential reference frame coder; lossless coding; lossless reference frame compression; lossless reference frame encoder algorithm; memory communication; motion estimation process; reference samples; simplified intraprediction process; spatial redundancy reduction; video coder; video coding; Bandwidth; Computational efficiency; Decoding; Encoding; Hardware; Video coding; Video sequences; Lossless reference frame compression; differential coding; memory bandwidth reduction; motion estimation; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6855029
  • Filename
    6855029