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
Link To Document :
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