Referenced Items are not available for this document.
A new low-power object-recognition processor achieves real-time robust recognition, satisfying modern mobile vision systems' requirements. The authors introduce an attention-based object-recognition algorithm for energy efficiency, a heterogeneous multicore architecture for data- and thread-level parallelism, and a network on a chip for high on-chip bandwidth. The fabricated chip achieves 30 frames/second throughput and an average 320 mW power consumption on test 720p video sequences, yielding 640 GOPS/W and 10.5 NJ/pixel energy efficiency.
Published in:
Micro, IEEE
(Volume:32
,
Issue:
6
)
Date of Publication: Nov.-Dec. 2012
- Page(s):
- 38 - 50
- ISSN :
- 0272-1732
- INSPEC Accession Number:
- 13429601
- Digital Object Identifier :
- 10.1109/MM.2012.90
- Product Type:
- Journals & Magazines
- Date of Publication :
- 15 November 2012
- Date of Current Version :
- 13 December 2012
- Issue Date :
- Nov.-Dec. 2012
- Sponsored by :
- IEEE Computer Society
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