论文标题
HEVC软件编码的基于流的能量估计器
A Bit Stream Feature-Based Energy Estimator for HEVC Software Encoding
论文作者
论文摘要
当今视频编码系统的总能耗在全球范围内具有重要意义，并强调了对可持续视频编码器应用程序的需求。为了开发这种可持续的视频编码人员，必须了解最先进的视频编码器能源消耗。为此，我们需要一个专门的设置来衡量编码和解码系统的能量。但是，这种测量是昂贵且费力的。为此，本文提出了一个能量估计器，该能量估计器使用位流特征的子集来准确估计HEVC软件编码过程的能量消耗。当在X265编码器实现的预设上平均，提出的模型平均估计误差为4.88％。这项工作的结果有助于确定编码节能位流的属性，进而可用于开发新的节能视频编码算法。
The total energy consumption of today's video coding systems is globally significant and emphasizes the need for sustainable video coder applications. To develop such sustainable video coders, the knowledge of the energy consumption of state-of-the-art video coders is necessary. For that purpose, we need a dedicated setup that measures the energy of the encoding and decoding system. However, such measurements are costly and laborious. To this end, this paper presents an energy estimator that uses a subset of bit stream features to accurately estimate the energy consumption of the HEVC software encoding process. The proposed model reaches a mean estimation error of 4.88% when averaged over presets of the x265 encoder implementation. The results from this work help to identify properties of encoding energy-saving bit streams and, in turn, are useful for developing new energy-efficient video coding algorithms.
