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DaTuM: Dynamic tone mapping technique for OLED display power saving based on video classification

Xiang Chen, Yiran Chen, Chun Jason Xue

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The adoption of the latest OLED (organic light emitting diode) technology does not change the fact that screen is still one of the most energy-consuming modules in modern smartphones. In this work, we found that video streams from the same video category share many common power consumption features on OLED screens. Therefore, we are able to build a Hidden Markov Model (HMM) classifier to categorize videos based on OLED screen power characteristics. Using this HMM classifier, we propose a video classification based dynamic tone mapping (DTM) scheme, namely, DaTuM, to remap output color range and minimize the power-hungry color compositions on OLED screens for power saving. Experiment shows that DaTuM scheme averagely reduces OLED screen power by 17.8% with minimum display quality degradation. Compared to DTM scheme based on official category info provided by the video sources and one state-of-the-art scheme, DaTuM substantially enhances OLED screens' power efficiency and display quality controllability.
Original languageEnglish
Title of host publicationProceedings - Design Automation Conference
PublisherIEEE
Volume2015-July
ISBN (Print)9781450335201
DOIs
Publication statusPublished - 7 Jun 2015
Event52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015 - San Francisco, United States
Duration: 8 Jun 201512 Jun 2015

Publication series

Name
Volume2015-July
ISSN (Print)0738-100X

Conference

Conference52nd ACM/EDAC/IEEE Design Automation Conference, DAC 2015
PlaceUnited States
CitySan Francisco
Period8/06/1512/06/15

Research Keywords

  • dynamic voltage scaling
  • mobile device
  • OLED
  • video streaming

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