Intelligent Vision Systems: Exploring the State-of-the-Art and Opportunities for the Future

Siddharth Advani, Srinidhi Kestur, Vijaykrishnan Narayanan

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

Abstract

Vision and video applications are becoming pervasive in mobile and embedded systems. Consumer wearable devices require capabilities for real-time video analytics and prolonged battery lifetimes, which is further driving the need for innovative system designs with low-power, reliability and high performance. Further, the increasing resolution of image sensors in these mobile systems places an increasing demand on both the memory storage as well as the computational power. Such stringent requirements have given rise to accelerator-rich architectures in system on-chips, where the primary computational burden is handled by dedicated hardware accelerators. In this paper we provide an overview of the current state-of-the-art in vision accelerators. We further discuss the opportunities to improve energy efficiency by minimizing Dynamic Random Access Memory (DRAM) refreshes and explore techniques to exploit algorithmic resilience for reduction in compute units while maintaining reliable system accuracy and performance.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-82
Number of pages6
ISBN (Electronic)9781467396912
DOIs
StatePublished - Mar 15 2016
Event1st IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2015 - Indore, India
Duration: Dec 21 2015Dec 23 2015

Publication series

NameProceedings - 2015 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2015

Other

Other1st IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2015
Country/TerritoryIndia
CityIndore
Period12/21/1512/23/15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems

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