论文标题
在实用VVC实施中进行了优化的解码 - 能源感知的编码
Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations
论文作者
论文摘要
能源需求的优化对于现代视频编解码器至关重要。先前的研究表明，如果在编码器中禁用了特定的编码工具，则VVC解码器的能源需求可以提高50％以上。但是，如果将概念应用于实用的编码器实现（例如VVEN），则这些方法将比特率提高20％以上。因此，在这项工作中，我们研究了VVEN，并研究了降低额外比特率的可能性，同时仍在合理的编码时间达到低能解码。我们表明，使用建议的编码工具概况编码，相对于标准编码，解码能源效率提高了25％以上，比特率增加了小于5％。此外，我们提出了针对最大能源节省的第二个编码工具剖面，该工具概况可节省最大的能源，在比特率下可节省的34％的能源量升高至15％以下。
The optimization of the energy demand is crucial for modern video codecs. Previous studies show that the energy demand of VVC decoders can be improved by more than 50% if specific coding tools are disabled in the encoder. However, those approaches increase the bit rate by over 20% if the concept is applied to practical encoder implementations such as VVenC. Therefore, in this work, we investigate VVenC and study possibilities to reduce the additional bit rate, while still achieving low-energy decoding at reasonable encoding times. We show that encoding using our proposed coding tool profiles, the decoding energy efficiency is improved by over 25% with a bit rate increase of less than 5% with respect to standard encoding. Furthermore, we propose a second coding tool profile targeting maximum energy savings, which achieves 34% of energy savings at bitrate increases below 15%.
