论文标题
高级设计空间探索VVC的关节能源和质量优化
Advanced Design Space Exploration for Joint Energy and Quality Optimization for VVC
论文作者
论文摘要
在最近的研究中，可以证明，通用视频编码（VVC）解码器的能源需求可能是可比的高效率视频编码（HEVC）解码器的两倍。复杂性增长的重要部分归因于新编码工具的使用。通过使用设计空间探索算法，可以表明，如果将不同的编码工具剖面用于编码过程，则可以减少VVC编码序列的能量需求。这项工作通过多种优化策略，方法学调整以优化感知质量以及新的最小化标准扩展了算法。结果，我们显着改善了帕累托的前沿以及最先进的设计空间探索的速率和能源效率。因此，我们显示的能源需求减少了47％，额外的比特率少于30％，或者降低了35％以上，额外的比特率约为6％。
In recent studies, it could be shown that the energy demand of Versatile Video Coding (VVC) decoders can be twice as high as comparable High Efficiency Video Coding (HEVC) decoders. A significant part of this increase in complexity is attributed to the usage of new coding tools. By using a design space exploration algorithm, it was shown that the energy demand of VVC-coded sequences could be reduced if different coding tool profiles were used for the encoding process. This work extends the algorithm with several optimization strategies, methodological adjustments to optimize perceptual quality, and a new minimization criterion. As a result, we significantly improve the Pareto front, and the rate-distortion and energy efficiency of the state-of-the-art design space exploration. Therefore, we show an energy demand reduction of up to 47% with less than 30% additional bit rate, or a reduction of over 35% with approximately 6% additional bit rate.
