• DocumentCode
    3093909
  • Title

    Approximate Computing in Chrominance Cache for Image/Video Processing

  • Author

    Fei Qiao ; Ni Zhou ; Yuanchang Chen ; Huazhong Yang

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2015
  • fDate
    20-22 April 2015
  • Firstpage
    180
  • Lastpage
    183
  • Abstract
    An approximate computing method for chrominance data of the video/image sequences is proposed in this paper, which is implemented in one hybrid cache architecture. This approach fully exploits the fact that the sensitivity of chrominance is much lower than that of luminance to reduce off-chip memory access of chrominance data. For the 4:2:0 image format, the proposed approximate computing method can achieve 25% reduction in off-chip memory access with the 2×2 basic approximate unit. Moreover, for the image formats of 4:2:2 and 4:4:4, it has about 37.5% and 50% access reduction of off-chip memory, respectively, with acceptable degradation of image quality to human visual system.
  • Keywords
    cache storage; image sequences; video signal processing; approximate computing method; chrominance cache; human visual system; hybrid cache architecture; image processing; image quality; image sequences; off-chip memory access; video processing; video sequences; Codecs; Memory management; Multimedia communication; PSNR; Standards; Streaming media; approximate computing; chrominace; hybrid cache; image/video processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Big Data (BigMM), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-8687-3
  • Type

    conf

  • DOI
    10.1109/BigMM.2015.68
  • Filename
    7153874