• DocumentCode
    1327849
  • Title

    An ultra low power adaptive wavelet video encoder with integrated memory

  • Author

    Simon, Thomas ; Chandrakasan, Anantha P.

  • Author_Institution
    High Speed Solutions, Hudson, MA, USA
  • Volume
    35
  • Issue
    4
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    572
  • Lastpage
    582
  • Abstract
    This paper describes a low-power, single-chip video encoder intended for battery-operated portable applications. Design goals are minimizing system power as well as utilized bandwidth, and maximizing system integration. The encoder achieves competitive compression, with convenient bit rate scalability, using a peak power dissipation of several hundred /spl mu/W on a video stream of 8-bit gray scale, 30 frame/s, and 128/spl times/128 demonstration resolution. Compression is performed using wavelet filtering, zero-trees, and arithmetic coding, all integrated on a single chip (3 million transistors, 1 cm/sup 2/, in 0.6 /spl mu/m CMOS, operating at 500 kHz), with no external memory or control. Results do not include use of motion compensation, however, hooks are included at algorithmic and architectural levels to add motion compensation at the cost of power dissipation a few times higher, and more internal memory. In the absence of motion compensation, temporal correlation is still utilized through the use of simple frame differencing. The architectural centerpiece is a massively parallel, fine granularity SIMD array of processing elements (PEs). A mapping is made between small image blocks (4/spl times/4 pixels on the test chip) and PEs, with each PE containing both memory and logic required for its block. These results are obtained by careful coordination of design in a deep vertical manner, ranging from system, algorithmic, architectural, circuit, and layout, and designing simultaneously for all required algorithmic subcomponents.
  • Keywords
    CMOS digital integrated circuits; VLSI; adaptive signal processing; arithmetic codes; correlation methods; data compression; digital signal processing chips; low-power electronics; parallel architectures; video coding; wavelet transforms; 0.6 micron; 500 kHz; 8-bit gray scale; CMOS chip implementation; adaptive wavelet video encoder; arithmetic coding; battery-operated portable applications; bit rate scalability; fine granularity SIMD array; integrated memory; massively parallel array; simple frame differencing; single-chip video encoder; temporal correlation; ultra low power video encoder; video compression; wavelet filtering; zero-trees; Algorithm design and analysis; Bandwidth; Bit rate; Filtering; Logic testing; Motion compensation; Power dissipation; Scalability; Streaming media; Video compression;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/4.839917
  • Filename
    839917