• DocumentCode
    2833197
  • Title

    Ultra High Definition video decoding with Motion JPEG XR using the GPU

  • Author

    Pieters, Bart ; De Cock, Jan ; Hollemeersch, C. ; Wielandt, Jeroen ; Lambert, Peter ; Van de Walle, Rik

  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    377
  • Lastpage
    380
  • Abstract
    Many applications require real-time decoding of high-resolution video pictures, for example, quick editing of video sequences in video editing applications. To increase decoding speed, parallelism can be exploited, yet, block-based image and video coding standards are difficult to decode in parallel because of the high number of dependencies between blocks. This paper investigates the parallel decoding capabilities of the new JPEG XR image coding standard for use on the massively-parallel architecture of the GPU. The potential of parallelism of the hierarchical frequency coding scheme used in the standard is addressed and a parallel decoding scheme is described suitable for real-time decoding of Ultra High Definition (4320p) Motion JPEG XR video sequences. Our results show a decoding speed of up to 46 frames per second for Ultra High Definition (4320p) sequences with high-dynamic range (32-bit/4:2:0) luma and chroma components.
  • Keywords
    Gaussian processes; image segmentation; iterative methods; maximum likelihood estimation; Gaussian BP; MRF-MAP estimation; belief propagation; bias field estimation; discrete-valued BP; graphical model representation; imaging device; intensity-based image segmentation; intractable joint inference problem; iterative solver; spatial intensity inhomogeneities; Decoding; Graphics processing unit; Image coding; Parallel processing; Streaming media; Tiles; Transform coding; GPU; JPEG XR; NVIDIA CUDA; massively-parallel; ultra high definition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116527
  • Filename
    6116527