Joint Optimization of Rate, Distortion, and Decoding Energy for HEVC Intraframe Coding

Abstract

This paper presents a novel algorithm that aims at minimizing the required decoding energy by exploiting a general energy model for HEVC-decoder solutions. We incorporate the energy model into the HEVC encoder such that it is capable of constructing a bit stream whose decoding process consumes less energy than the decoding process of a conventional bit stream. To achieve this, we propose to extend the traditional Rate-Distortion-Optimization scheme to a Decoding-Energy-Rate-Distortion approach. To obtain fast encoding decisions in the optimization process, we derive a fixed relation between the quantization parameter and the Lagrange multiplier for energy optimization. Our experiments show that this concept is applicable for intraframe-coded videos and that for local playback as well as online streaming scenarios, up to 15% of the decoding energy can be saved at the expense of a bitrate increase of approximately the same magnitude.

5 pages, 3 figures

References in corpus (1)

• Estimating the HEVC Decoding Energy Using the Decoder Processing Time

Cited by in corpus (5)

• Decoding-Energy-Rate-Distortion Optimization for Video Coding
• A Bitstream Feature Based Model for Video Decoding Energy Estimation
• Video Decoding Energy Estimation Using Processor Events
• Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process
• Power Consumption of Video-Decoders on Various Android Devices