论文标题
用于多功能视频编码的解码能量建模
Decoding Energy Modeling For Versatile Video Coding
论文作者
论文摘要
在先前的研究中，已经表明，通过使用解码 - 能源 - 及时优化算法，可以将高效率视频编码能源需求（HEVC）的能源需求减少15 $ \％$。为了实现这一目标，解码器的能量需求必须由基于位的基于位的模型具有足够高的精度来建模。因此，我们为即将到来的多功能视频编码（VVC）标准提出了两个基于流功能的模型。将新引入的模型与用于HEVC的文献的模型进行了比较。对所提出模型的评估表明，平均估计误差与文献的结果相似，并产生估计误差为1.85％，而交叉验证为10倍。
In previous research, it was shown that the software decoding energy demand of High Efficiency Video Coding (HEVC) can be reduced by 15$\%$ by using a decoding-energy-rate-distortion optimization algorithm. To achieve this, the energy demand of the decoder has to be modeled by a bit stream feature-based model with sufficiently high accuracy. Therefore, we propose two bit stream feature-based models for the upcoming Versatile Video Coding (VVC) standard. The newly introduced models are compared with models from literature, which are used for HEVC. An evaluation of the proposed models reveals that the mean estimation error is similar to the results of the literature and yields an estimation error of 1.85% with 10-fold cross-validation.
