视频编码解码能量率失真优化
Decoding-Energy-Rate-Distortion Optimization for Video Coding
摘要：
本文提出了一种生成编码视频比特流的方法，该方法比传统的编码比特流需要更少的解码能量。为此，我们建议扩展标准的率失真优化方法，也考虑解码能量。在编码器中，解码能量在运行时使用基于特征的能量模型来估计。这些能量估计然后被用于计算由编码器最小化的解码能量速率失真成本。这最终导致这三个参数之间的最佳权衡。因此，我们介绍了描述解码能量率失真优化的数学理论，并详细解释了所提出的编码器算法。对于速率-能量控制，引入了一个新的编码器参数。最后，测量HEVC编码的比特流的软件解码过程。结果表明，这种方法可以导致高达30%的解码能量减少在一个恒定的视觉客观质量时，接受在同一数量级的比特率增加。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
