Journal article

Decoding-Energy-Rate-Distortion Optimization for Video Coding

Publication Details
Author(s): Herglotz C, Heindel A, Kaup A
Publication year: 2017
Pages range: to appear
ISSN: 1051-8215
Language: English


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.

How to cite
APA: Herglotz, C., Heindel, A., & Kaup, A. (2017). Decoding-Energy-Rate-Distortion Optimization for Video Coding. IEEE Transactions on Circuits and Systems For Video Technology, to appear.

MLA: Herglotz, Christian, Andreas Heindel, and Andre Kaup. "Decoding-Energy-Rate-Distortion Optimization for Video Coding." IEEE Transactions on Circuits and Systems For Video Technology (2017): to appear.

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