Video analytics using beyond CMOS devices

Vijaykrishnan Narayanan, Suman Datta, Gert Cauwenberghs, Don Chiarulli, Steve Levitan, Philip Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

The human vision system understands and interprets complex scenes for a variety of visual tasks in real-time while consuming less than 20 Watts of power. The holistic design of artificial vision systems that will approach and eventually exceed the capabilities of human vision systems is a grand challenge. The design of such a system needs advances in multiple disciplines. This paper focuses on advances needed in the computational fabric and provides an overview of a new-genre of architectures inspired by advances in both the understanding of the visual cortex and the emergence of devices with new mechanisms for state computations.

Original languageEnglish (US)
Title of host publicationProceedings - Design, Automation and Test in Europe, DATE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9783981537024
DOIs
StatePublished - Jan 1 2014
Event17th Design, Automation and Test in Europe, DATE 2014 - Dresden, Germany
Duration: Mar 24 2014Mar 28 2014

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Other

Other17th Design, Automation and Test in Europe, DATE 2014
CountryGermany
CityDresden
Period3/24/143/28/14

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Narayanan, V., Datta, S., Cauwenberghs, G., Chiarulli, D., Levitan, S., & Wong, P. (2014). Video analytics using beyond CMOS devices. In Proceedings - Design, Automation and Test in Europe, DATE 2014 [6800558] (Proceedings -Design, Automation and Test in Europe, DATE). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.7873/DATE2014.357