论文标题
用于视频解码能量估计的基于BOTSTREAM功能的模型
A Bitstream Feature Based Model for Video Decoding Energy Estimation
论文作者
论文摘要
在本文中，我们表明，可以使用少量的位流功能来准确估计针对四种不同视频编解码器的最先进软件和硬件加速解码器实现的能源消耗。通过测试HEVC，H.264，H.263和VP9上的估计性能，我们证明了所提出的模型可用于任何混合视频编解码器。我们在大量不同的测试序列上测试我们的方法，以证明一般有效性。我们表明，少于20个功能足以获得小于8％的平均估计误差。最后，一个例子将显示所有经过测试编解码器的速率，失真和解码能量的绩效权衡。
In this paper we show that a small amount of bit stream features can be used to accurately estimate the energy consumption of state-of-the-art software and hardware accelerated decoder implementations for four different video codecs. By testing the estimation performance on HEVC, H.264, H.263, and VP9 we show that the proposed model can be used for any hybrid video codec. We test our approach on a high amount of different test sequences to prove the general validity. We show that less than 20 features are sufficient to obtain mean estimation errors that are smaller than 8%. Finally, an example will show the performance trade-offs in terms of rate, distortion, and decoding energy for all tested codecs.
