Video decoding energy estimation using processor events Article Swipe

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Computer science Decoding methods Codec Profiling (computer programming) Cache Software Reference software Real-time computing Coding (social sciences) Video decoder Instruction set Implementation Embedded system Computer hardware Parallel computing Algorithm Operating system Mathematics Statistics Programming language

Christian Herglotz , André Kaup ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.1109/icip.2017.8296731 · OA: W2789719781

In this paper, we show that processor events like instruction counts or cache misses can be used to accurately estimate the processing energy of software video decoders. Therefore, we perform energy measurements on an ARM-based evaluation platform and count processor level events using a dedicated profiling software. Measurements are performed for various codecs and decoder implementations to prove the general viability of our observations. Using the estimation method proposed in this paper, the true decoding energy for various recent video coding standards including HEVC and VP9 can be estimated with a mean estimation error that is smaller than 6%.