# Decoding-Energy-Rate-Distortion Optimization for Video Coding

arXiv: https://arxiv.org/abs/2203.01099 · HTML: https://mlsanity.com/paper/2203.01099/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Mar 2022.

## Built on by (most cited first, 3 of 3)

- [Video Coding for Machines with Feature-Based Rate-Distortion Optimization](https://mlsanity.com/paper/2203.05890/) (2022)
- [Multi-Objective Pareto-Front Optimization for Efficient Adaptive VVC Streaming](https://mlsanity.com/paper/2601.10607/) (2026)
- [Fast Multirate Encoding for 360deg Video in OMAF Streaming Workflows](https://mlsanity.com/paper/2601.17568/) (2026)

## Abstract (arXiv)

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.