Decoding-Energy-Rate-Distortion Optimization for Video Coding

Herglotz C, Heindel A, Kaup A (2019)

Publication Language: English

Publication Type: Journal article

Publication year: 2019


Book Volume: 29

Pages Range: 171-182

Journal Issue: 1

DOI: 10.1109/TCSVT.2017.2771819

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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.

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How to cite


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.


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.

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