Video Decoding Energy Estimation Using Processor Events

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Herglotz C, Kaup A
Publication year: 2017
Language: English


Abstract


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%.



FAU Authors / FAU Editors

Herglotz, Christian Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Herglotz, C., & Kaup, A. (2017). Video Decoding Energy Estimation Using Processor Events. Beijing, CN.

MLA:
Herglotz, Christian, and André Kaup. "Video Decoding Energy Estimation Using Processor Events." Proceedings of the IEEE International Conference on Image Processing, Beijing 2017.

BibTeX: 

Last updated on 2018-19-04 at 03:59