메뉴 건너뛰기




Volumn 44, Issue 1, 2009, Pages 136-147

A 125 GOPS 583 mW network-on-chip based parallel processor with bio-inspired visual attention engine

Author keywords

Matching accelerator; Network on chip (NoC); Object recognition; Parallel processor; Processing element clusters; Visual attention engine

Indexed keywords

ANALOG TO DIGITAL CONVERSION; CELLULAR NEURAL NETWORKS; CMOS INTEGRATED CIRCUITS; ELECTRIC NETWORK TOPOLOGY; ENERGY MANAGEMENT; IMAGE PROCESSING; NEURAL NETWORKS; PARALLEL ALGORITHMS; SHIFT REGISTERS;

EID: 58149234155     PISSN: 00189200     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSSC.2008.2007157     Document Type: Conference Paper
Times cited : (32)

References (17)
  • 1
    • 34548827574 scopus 로고    scopus 로고
    • XETAL-II: A 107 GOPS, 600 mW massively-parallel processor for video scene analysis
    • A. Abbo et al., "XETAL-II: A 107 GOPS, 600 mW massively-parallel processor for video scene analysis," in IEEE ISSCC Dig. Tech. Papers, 2007, pp. 270-271.
    • (2007) IEEE ISSCC Dig. Tech. Papers , pp. 270-271
    • Abbo, A.1
  • 2
    • 0242468183 scopus 로고    scopus 로고
    • A 51.2-GOPS scalable video recognition processor for intelligent cruise control based on a linear array of 128 four-way VLIW processing elements
    • Nov
    • S. Kyo et al., "A 51.2-GOPS scalable video recognition processor for intelligent cruise control based on a linear array of 128 four-way VLIW processing elements," IEEE J. Solid-State Circuits, vol. 38, no. 11, pp. 1992-2000, Nov. 2003.
    • (2003) IEEE J. Solid-State Circuits , vol.38 , Issue.11 , pp. 1992-2000
    • Kyo, S.1
  • 3
    • 33846236435 scopus 로고    scopus 로고
    • The design and implementation of the massively parallel processor based on the matrix architecture
    • Jan
    • H. Noda et al., "The design and implementation of the massively parallel processor based on the matrix architecture," IEEE J. Solid-State Circuits, vol. 42, no. 1, pp. 183-192, Jan. 2007.
    • (2007) IEEE J. Solid-State Circuits , vol.42 , Issue.1 , pp. 183-192
    • Noda, H.1
  • 4
    • 39549107419 scopus 로고    scopus 로고
    • An 81.6 GOPS object recognition processor based on NoC and visual image processing memory
    • D. Kim et al., "An 81.6 GOPS object recognition processor based on NoC and visual image processing memory," in Proc. CICC, 2007, pp. 443-446.
    • (2007) Proc. CICC , pp. 443-446
    • Kim, D.1
  • 5
    • 49549105341 scopus 로고    scopus 로고
    • A 125 GOPS 583 mW network-on-chip based parallel processor with bio-inspired visual attention engine
    • K. Kim et al., "A 125 GOPS 583 mW network-on-chip based parallel processor with bio-inspired visual attention engine," in IEEE ISSCC Dig. Tech. Papers, 2008, pp. 308-309.
    • (2008) IEEE ISSCC Dig. Tech. Papers , pp. 308-309
    • Kim, K.1
  • 6
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Nov
    • D. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
    • (2004) Int. J. Comput. Vis , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 8
    • 58149273892 scopus 로고    scopus 로고
    • A 66 fps 38 mW nearest neighbor matching processor with hierarchical VQ algorithm for real-time object recognition
    • J.-Y. Kim et al., "A 66 fps 38 mW nearest neighbor matching processor with hierarchical VQ algorithm for real-time object recognition," in Proc. IEEE Asian Solid-State Circuits Conf., 2008, pp. 177-180.
    • (2008) Proc. IEEE Asian Solid-State Circuits Conf , pp. 177-180
    • Kim, J.-Y.1
  • 9
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • Nov
    • L. Itti et al., "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. Pattern Anal. Machine Intell., vol. 20, no. 11, Nov. 1998.
    • (1998) IEEE Trans. Pattern Anal. Machine Intell , vol.20 , Issue.11
    • Itti, L.1
  • 11
    • 0032002005 scopus 로고    scopus 로고
    • Gabor-type filtering in space and time with cellular neural networks
    • Feb
    • B. E. Shi, "Gabor-type filtering in space and time with cellular neural networks," IEEE Trans. Circuits Syst. I, Fundam. Theory Applicat., vol. 45, no. 2, pp. 121-132, Feb. 1998.
    • (1998) IEEE Trans. Circuits Syst. I, Fundam. Theory Applicat , vol.45 , Issue.2 , pp. 121-132
    • Shi, B.E.1
  • 13
    • 2542574167 scopus 로고    scopus 로고
    • ACE16k: The third generation of mixedsignal SIMD-CNN ACE chips toward VSoCs
    • A. Rodriguez-Vazquez et al., "ACE16k: The third generation of mixedsignal SIMD-CNN ACE chips toward VSoCs," IEEE Trans. Circuits Syst. I, Fundam. Theory Applicat., vol. 51, no. 5, pp. 851-863, 2004.
    • (2004) IEEE Trans. Circuits Syst. I, Fundam. Theory Applicat , vol.51 , Issue.5 , pp. 851-863
    • Rodriguez-Vazquez, A.1
  • 14
    • 0342323764 scopus 로고    scopus 로고
    • An emulated digital CNN implementation
    • P. Keresztes et al., "An emulated digital CNN implementation," J. VLSI Signal Process., vol. 23, pp. 291-303, 1999.
    • (1999) J. VLSI Signal Process , vol.23 , pp. 291-303
    • Keresztes, P.1
  • 16
    • 33645011974 scopus 로고    scopus 로고
    • Low-power networks-on-chip for high-performance SoC design
    • Feb
    • K. Lee et al., "Low-power networks-on-chip for high-performance SoC design," IEEE Trans. VLSI Syst., vol. 14, no. 2, pp. 148-160, Feb. 2006.
    • (2006) IEEE Trans. VLSI Syst , vol.14 , Issue.2 , pp. 148-160
    • Lee, K.1
  • 17
    • 34548833277 scopus 로고    scopus 로고
    • A programmable 512 GOPS stream processor for signal, image, and video processing
    • B. Khailany et al., "A programmable 512 GOPS stream processor for signal, image, and video processing," in IEEE ISSCC Dig. Tech. Papers, 2007, pp. 272-273.
    • (2007) IEEE ISSCC Dig. Tech. Papers , pp. 272-273
    • Khailany, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.