Luminance-adaptive smart video storage system

Jonathon Edstrom, Dongliang Chen, Jinhui Wang, Huan Gu, Enrique Alvarez Vazquez, Mark E. McCourt, Na Gong

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

3 Scopus citations

Abstract

The use of mobile devices is rapidly growing each year due to their portability and convenience. User experience and battery life are both crucial topics in the advancement of these devices. Sensing the light environment of a mobile device and adapting the output of the device accordingly can create positive results for both user experience and battery life. In this paper, we concentrate on different levels of ambient luminance and its influence on the viewing experience of the user. Since the human visual system is less sensitive to video noise at higher levels of ambient luminance, under those conditions we allow more noise to achieve power consumption reduction. Through subjective testing we show that in general our method works well for attaining a good quality of experience to the user. The hardware simulation for our design results in 32.6% power savings.

Original languageEnglish (US)
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages734-737
Number of pages4
ISBN (Electronic)9781479953400
DOIs
StatePublished - Jul 29 2016
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: May 22 2016May 25 2016

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2016-July
ISSN (Print)0271-4310

Other

Other2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
CountryCanada
CityMontreal
Period5/22/165/25/16

Keywords

  • mobile video
  • power efficiency
  • quality of experience (QoE)
  • viewing context

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Edstrom, J., Chen, D., Wang, J., Gu, H., Vazquez, E. A., McCourt, M. E., & Gong, N. (2016). Luminance-adaptive smart video storage system. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems (pp. 734-737). [7527345] (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2016.7527345