Ilett, Daniel, Debattista, Kurt, Nilsson, Mike, Farrow, Paul and Chalmers, Alan (2022) Predicting energy usage of high dynamic range video on mobile devices. IBC 2022 Technical Papers.

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Abstract

High-end mobile devices now support displaying video in High Dynamic Range (HDR), delivering a significantly enhanced viewing experience over Standard Dynamic Range (SDR). However, more energy may be required to play HDR, impacting device battery life and reducing overall quality of experience.

We present a new methodology for predicting the real-time energy usage of a mobile device playing video content. Thirty-seven video clips were encoded into 12 combinations of different resolution, frame-rate, bit-rate, and dynamic range. An external power monitor was used to measure the voltage and current drawn by the device while playing the content. These measurements were used to train a neural network to predict the energy requirements of playing any clip.

We show that our model can predict the energy usage of videos with RMS error of 4.88%, achieving a substantial improvement over existing methods that use linear regression, symbolic regression, or trust-region optimisation.

Item Type:	Report
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Publisher:	IBC 2022 Technical Papers
Official Date:	19 October 2022
Dates:	Date Event 19 October 2022 Published 24 October 2022 Accepted
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Description:	Technical Paper

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