• DocumentCode
    2821139
  • Title

    Real-time Two-Stage SPECK (TSSP) design and implementation for scalable video coding on embedded systems

  • Author

    Loomans, Marijn J H ; Koeleman, Cornelis J. ; De With, Peter H N

  • Author_Institution
    VDG Security BV, Zoetermeer, Netherlands
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we discuss the design and real-time implementation of a novel wavelet coefficient encoder for Scalable Video Coding (SVC) in a surveillance environment. The novel wavelet coefficient encoder, called Two-Stage SPECK (TSSP), is designed for efficient hardware/software implementations on parallel architectures. As the encoder needs to be integrated into an embedded system, we will elaborate on its implementation on a common VLIW DSP (DM642). Optimization techniques such as SIMD (Single Instruction Multiple Data) and DMA (Direct Memory Access) are applied to maximize parallelism with concurrent calculations and memory transfers. We have realized the execution of the TSSP at 4CIF (CCIR-601) broad- cast resolution and YCbCr 4:2:0 color in 7.884 Mcycles per frame, including memory stalls. This translates to more than 75 full-color encodings per second at a clock rate of 600 MHz.
  • Keywords
    concurrency control; embedded systems; parallel architectures; video coding; video surveillance; wavelet transforms; DM642; SIMD; TSSP; VLIW DSP; concurrent calculation; direct memory access; embedded system; frequency 600 MHz; hardware implementation; memory transfers; parallel architecture; scalable video coding; single instruction multiple data; software implementation; surveillance environment; two-stage SPECK design; wavelet coefficient encoder; Buffer storage; Digital signal processing; Encoding; Image coding; Optimization; Real time systems; Sorting; DSP; Implementation; Real-time; SPECK; Scalable Video Coding; TSSP; Wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2011 IEEE
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4577-1321-7
  • Electronic_ISBN
    978-1-4577-1320-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2011.6115920
  • Filename
    6115920