Energy-aware decoder management: a case study on RVC-CAL specification based on just-in-time adaptive decoder engine

Motivated by the pervasive use of multimedia applications in battery-powered portable devices, the latest video coding standards have been developed to enable higher data compression rates and decoding efficiencies. An MPEG Reconfigurable Video Coding (RVC) framework has been proposed to efficiently support multiple codec specifications and facilitate innovation in codec design. At the same time, an energy-aware design is expected to be included in video coding standards for the purpose of energy optimization of multimedia applications, which are known to create high computational loads. This paper proposes an energy-aware decoder manager based jointly on a Just-In-Time Adaptive Decoder Engine (Jade) and an energy estimation model. The model is driven by Performance Monitoring Counters (PMCs) and is fitted by the multivariate adaptive regression splines (MARS) method. The estimation results achieve average relative errors of less than 10%. In addition, the maximal model computation overhead is 4.58%. By combining the estimation model into the RVC framework, the experimental results show good potential for energy efficiency improvement with increases of up to 21.8% based on energy considerations.