Modeling the Energy Consumption of HEVC Intra Decoding
Christian Herglotz, Dominic Springer, Andrea Eichenseer, Andr\'e Kaup

TL;DR
This paper presents a model to accurately estimate the energy consumption of HEVC intra video decoding on mobile devices, aiding in designing energy-efficient encoding strategies.
Contribution
A novel energy consumption model for HEVC intra decoding on mobile platforms with less than 3.2% estimation error.
Findings
Model achieves <3.2% estimation error.
Model enables energy-aware encoding.
Supports development of energy-efficient decoders.
Abstract
Battery life is one of the major limitations to mobile device use, which makes research on energy efficient soft- and hardware an important task. This paper investigates the energy required by a CPU when decoding compressed bitstream videos on mobile platforms. A model is derived that describes the energy consumption of the new HEVC decoder for intra coded videos. We show that the relative estimation error of the model is smaller than 3.2% and that the model can be used to build encoders aiming at minimizing decoding energy.
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