通过调整编码参数，显著降低AV1解码复杂度与能耗。
An Empirical Study of Reducing AV1 Decoder Complexity and Energy Consumption via Encoder Parameter Tuning
- 通过关闭特定编码工具或使用快速解码预设，优化编码配置。
- libaom-av1关闭CDEF滤波器可减少10%解码周期，SVT-AV1快解模式降24%。
- 适合内容提供商优化视频流能源消耗，尤其对电池设备友好。
先进视频编码标准如AV1的普及常受限于其高解码复杂度，对电池供电设备构成挑战。尽管编码器可配置为生成更易解码的码流，但评估特定视频的解码复杂度与能耗却十分困难。本研究系统分析了在libaom-av1与SVT-AV1两个编码器中禁用不同编码工具及调整参数的影响。借助RAPL、Intel SoC Watch（集成于VTune分析器）等系统级能效测量工具，量化了解码复杂度、能耗与压缩效率之间的权衡关系。结果表明，特定编码配置可大幅降低解码复杂度而仅造成轻微感知质量损失：libaom-av1中禁用CDEF（环内滤波）使平均解码周期减少10%；SVT-AV1使用内置快速解码预设fast-decode=2，解码周期下降24%。这些发现为内容提供商优化AV1视频流的能效提供了可行策略。
原文摘要 · Abstract (English)
The widespread adoption of advanced video codecs such as AV1 is often hindered by their high decoding complexity, posing a challenge for battery-constrained devices. While encoders can be configured to produce bitstreams that are decoder-friendly, estimating the decoding complexity and energy overhead for a given video is non-trivial. In this study, we systematically analyse the impact of disabling various coding tools and adjusting coding parameters in two AV1 encoders, libaom-av1 and SVT-AV1. Using system-level energy measurement tools like RAPL (Running Average Power Limit), Intel SoC Watch (integrated with VTune profiler), we quantify the resulting trade-offs between decoding complexity, energy consumption, and compression efficiency for decoding a bitstream. Our results demonstrate that specific encoder configurations can substantially reduce decoding complexity with minimal perceptual quality degradation. For libaom-av1, disabling CDEF, an in-loop filter gives us a mean reduction in decoding cycles by 10%. For SVT-AV1, using the in-built, fast-decode=2 preset achieves a more substantial 24% reduction in decoding cycles. These findings provide strategies for content providers to lower the energy footprint of AV1 video streaming.
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