With the explosive growth of mobile video consumption over the Internet, delivering video at high quality while controlling the energy consumption of embedded decoding devices is becoming a primary concern. In this context, this paper demonstrates that tailored energy savings strategies, coupled with a video quality assessment protocol, have the potential to reduce the energy consumption of video decoding. We investigate on a real-time, optimized HEVC decoder, the relationship between the perceived mobile video quality and the energy consumption of the decoder. In addition to low level optimizations for ARM Neon platforms, two energy reduction methods named Approximate and Skipping have been investigated. Results show that energy savings of up to 20% can be achieved by using these methods with the same subjective perceived video quality. These subjective results confirm objective measurements, using PSNR and SSIM metrics, that depict a limited video quality degradation.

随着Internet上移动视频消费的爆炸性增长，在控制嵌入式解码设备的能耗的同时提供高质量的视频已成为首要问题。在这种情况下，本文证明了量身定制的节能策略，结合视频质量评估协议，有可能减少视频解码的能耗。我们在实时，优化的HEVC解码器上研究了感知到的移动视频质量与解码器能耗之间的关系。除了针对ARM Neon平台的低级优化外，还有两种节能方法，分别称为“近似”和“跳过”已被调查。结果表明，使用这些方法以相同的主观感知视频质量可以节省多达20％的能源。这些主观结果证实了使用PSNR和SSIM指标进行的客观测量，这些测量描述了有限的视频质量下降。