Extended abstract: Efficient image processing for continuous mobile vision

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

Abstract

Vision algorithms have enabled our camera-equipped devices to perform powerful tasks, including barcode scanning, object detection,text recognition, and face identification. Unfortunately,these tasks require significant energy to capture,process, and analyze images through the image sensor (imager),image signal processor (ISP), and application processor,limiting the longevity of such applications to short-term, on-demand use. We propose the investigation of an image processing paradigm that uses vision task information to optimize the energy cost of the image capture pipeline. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Original languageEnglish (US)
Title of host publicationMobiSys 2014 - PhD Forum 2014
PublisherAssociation for Computing Machinery
Pages9-10
Number of pages2
ISBN (Print)9781450329408
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event2014 ACM MobiSys PhD Forum Workshop, PhD Forum 2014 - Bretton Woods, NH, United States
Duration: Jun 16 2014Jun 16 2014

Publication series

NameMobiSys 2014 - PhD Forum 2014

Conference

Conference2014 ACM MobiSys PhD Forum Workshop, PhD Forum 2014
CountryUnited States
CityBretton Woods, NH
Period6/16/146/16/14

Keywords

  • Computer Vision
  • Energy Efficiency
  • Image Sensors
  • Image Signal Processing
  • Mobile Systems
  • Operating Systems

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    LiKamWa, R. (2014). Extended abstract: Efficient image processing for continuous mobile vision. In MobiSys 2014 - PhD Forum 2014 (pp. 9-10). (MobiSys 2014 - PhD Forum 2014). Association for Computing Machinery. https://doi.org/10.1145/2611166.2611171