通过帧级调控编码工具，实现VVC解码能耗与码率效率的新平衡。
Design Space Exploration at Frame-Level for Joint Decoding Energy and Quality Optimization in VVC
- 在帧级别动态调整编码工具使用，突破原有全局配置限制。
- 获得此前无法达到的码率-能耗权衡点，提升优化连续性。
- 适合关注视频编码能效优化的研究者和工程师。
为降低VVC解码器的能耗，研究发现编码工具配置对码率效率和解码能耗有显著影响。现有先进设计空间探索算法虽可生成速率与能效的最优权衡配置，但受限于对整个码流统一定义编码工具，部分权衡点无法触及。本文提出一种新型细粒度编码工具调整方法，将优化算法扩展至帧级别配置。同时引入新优化准则，聚焦特定码率区间。结果表明，所提方法可获得此前不可达的码率效率与解码能耗权衡组合，显著扩展了设计空间，并增强了帕累托前沿的连续性。
原文摘要 · Abstract (English)
In the pursuit of a reduced energy demand of VVC decoders, it was found that the coding tool configuration has a substantial influence on the bit rate efficiency and the decoding energy demand. The Advanced Design Space Exploration algorithm as proposed in the literature, can derive coding tool configurations that provide optimal trade-offs between rate and energy efficiency. Yet, some trade-off points in the design space cannot be reached with the state-of-the-art methodology, which defines coding tools for an entire bitstream. This work proposes a novel, granular adjustment of the coding tool usage in VVC. Consequently, the optimization algorithm is adjusted to explore coding tool configurations that operate on frame-level. Moreover, new optimization criteria are introduced to focus the search on specific bit rates. As a result, coding tool configurations are obtained which yield so far inaccessible trade-offs between bit rate efficiency and decoding energy demand for VVC-coded sequences. The proposed methodology extends the design space and enhances the continuity of the Pareto front.
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