Decoding-Energy-Rate-Distortion Optimization for Video Coding

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Herglotz C, Heindel A, Kaup A
Zeitschrift: IEEE Transactions on Circuits and Systems For Video Technology
Jahr der Veröffentlichung: 2019
Band: 29
Heftnummer: 1
Seitenbereich: 171-182
ISSN: 1051-8215
Sprache: Englisch


Abstract


This paper presents a method for generating coded video bit streams requiring less decoding energy than conventionally coded bit streams. To this end, we propose extending the standard rate-distortion optimization approach to also consider the decoding energy. In the encoder, the decoding energy is

estimated during runtime using a feature-based energy model. These energy estimates are then used to calculate decoding-energy-rate-distortion costs that are minimized by the encoder. This ultimately leads to optimal trade-offs between these three parameters. Therefore, we introduce the  mathematical theory for describing decoding-energy-rate-distortion optimization and the proposed encoder algorithm is explained in detail. For rate-energy control, a new encoder parameter is  introduced. Finally, measurements of the software decoding process for HEVC-coded bit streams are performed. Results show that this approach can lead to up to 30% of decoding energy reduction  at a constant visual objective quality when accepting a bitrate increase at the same order of magnitude.


FAU-Autoren / FAU-Herausgeber

Heindel, Andreas
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Herglotz, Christian Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


Zitierweisen

APA:
Herglotz, C., Heindel, A., & Kaup, A. (2019). Decoding-Energy-Rate-Distortion Optimization for Video Coding. IEEE Transactions on Circuits and Systems For Video Technology, 29(1), 171-182.

MLA:
Herglotz, Christian, Andreas Heindel, and André Kaup. "Decoding-Energy-Rate-Distortion Optimization for Video Coding." IEEE Transactions on Circuits and Systems For Video Technology 29.1 (2019): 171-182.

BibTeX: 

Zuletzt aktualisiert 2019-11-02 um 15:53