Exploiting natural redundancy in visual information

Chris S. Lee, Kevin M. Irick, Jack Sampson, Chuanjun Zhang, Vijaykrishnan Narayanan

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

1 Scopus citations

Abstract

This work proposes an adaptive architecture for a neuro-inspired vision pipeline that uses a data driven approach to dynamic configuration and optimization of the underlying computational fabric. The micro-architecture allows the adaptation mechanism to be tuned for changing system objectives that cross-cut accuracy, power consumption, and throughput constraints.

Original languageEnglish (US)
Title of host publication2014 32nd IEEE International Conference on Computer Design, ICCD 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages505-508
Number of pages4
ISBN (Electronic)9781479964925
DOIs
StatePublished - Dec 3 2014
Event32nd IEEE International Conference on Computer Design, ICCD 2014 - Seoul, Korea, Republic of
Duration: Oct 19 2014Oct 22 2014

Publication series

Name2014 32nd IEEE International Conference on Computer Design, ICCD 2014

Other

Other32nd IEEE International Conference on Computer Design, ICCD 2014
CountryKorea, Republic of
CitySeoul
Period10/19/1410/22/14

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

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