论文标题
用于视频编码的解码 - 能量率优化优化
Decoding-Energy-Rate-Distortion Optimization for Video Coding
论文作者
论文摘要
本文提出了一种比传统编码的位流生成编码的视频位流的方法。为此，我们提出扩展标准利率延伸优化方法，以考虑解码能。在编码器中，使用基于特征的能量模型在运行时估计解码能。然后，这些能量估计值用于计算编码器最小化的解码 - 能量率距离成本。最终导致这三个参数之间的最佳权衡。因此，我们介绍了用于描述解码 - 能量渗透优化的数学理论，并详细解释了所提出的编码器算法。对于速率能量控制，引入了新的编码器参数。最后，对HEVC编码的位流的软件解码过程进行了测量。结果表明，在接受相同数量级的比特率增加时，这种方法可以以恒定的视觉物镜质量的恒定视觉物镜质量导致多达30％的解码能量。
This paper presents a method for generating coded video bit streams requiring less decoding energy than conventionally coded bit streams. To this end, we propose extending the standard rate-distortion optimization approach to also consider the decoding energy. In the encoder, the decoding energy is estimated during runtime using a feature-based energy model. These energy estimates are then used to calculate decoding-energy-rate-distortion costs that are minimized by the encoder. This ultimately leads to optimal trade-offs between these three parameters. Therefore, we introduce the mathematical theory for describing decoding-energy-rate-distortion optimization and the proposed encoder algorithm is explained in detail. For rate-energy control, a new encoder parameter is introduced. Finally, measurements of the software decoding process for HEVC-coded bit streams are performed. Results show that this approach can lead to up to 30% of decoding energy reduction at a constant visual objective quality when accepting a bitrate increase at the same order of magnitude.
