Estimating The HEVC Decoding Energy Using High-Level Video Features

Herglotz C, Kaup A (2015)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2015

Pages Range: 1591-1595

Conference Proceedings Title: Proc. of European Signal Processing Conference (EUSIPCO)

Event location: Nice FR

ISBN: 978-0-9928-6263-3

DOI: 10.1109/EUSIPCO.2015.7362652

Abstract

This paper shows how the decoding energy of HEVC software decoders can be estimated when using high-level features of a coded bit stream. The investigated features comprise number of frames, resolution, bitrate, QP, and encoder configuration, where the proposed model reaches an average estimation error of 10%. While establishing this model, we closely investigated the influence of these high-level features on the decoding energy. Mathematical relations are derived that can, e.g., be exploited to control the decoding energy from the encoder side. To show the validity of our research, evaluations are performed on two different hardware devices and three different software solutions.

Authors with CRIS profile

Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Herglotz, C., & Kaup, A. (2015). Estimating The HEVC Decoding Energy Using High-Level Video Features. In Proc. of European Signal Processing Conference (EUSIPCO) (pp. 1591-1595). Nice, FR.

MLA:

Herglotz, Christian, and André Kaup. "Estimating The HEVC Decoding Energy Using High-Level Video Features." Proceedings of the European Signal Processing Conference (EUSIPCO), Nice 2015. 1591-1595.

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