自适应分辨率与色度采样用于节能视频编码
Adaptive Resolution and Chroma Subsampling for Energy-Efficient Video Coding
AI总结：
本文提出ARCS框架，通过自适应分辨率和色度采样优化，实现视频编码的节能与效率平衡。
摘要：
传统视频编码器通常采用固定色度采样格式，如YUV420，这可能无法最佳反映不同内容类型中的色度细节变化。这可能导致色度质量不 optimal 和比特率分配的低效。我们提出了一种自适应分辨率-色度采样（ARCS）框架，通过联合优化空间分辨率和色度采样来平衡感知质量和解码效率。ARCS为每个比特率选择最优（分辨率，色度格式）对，通过最大化一个综合的品质-复杂度目标函数，同时施加单调性约束以确保表示之间的平滑过渡。实验结果表明，使用x265测试时，与固定格式编码（YUV444）相比，ARCS平均可节省13.48%的比特率，并减少62.18%的解码时间，我们将其用作解码能耗的代理，以获得相同的ColorVideoVDP分数。所提出的框架引入了色度适应性作为节能视频流的新控制维度。
英文摘要：
Conventional video encoders typically employ a fixed chroma subsampling format, such as YUV420, which may not optimally reflect variations in chroma detail across different types of content. This can lead to suboptimal chroma quality and inefficiencies in bitrate allocation. We propose an Adaptive Resolution-Chroma Subsampling (ARCS) framework that jointly optimizes spatial resolution and chroma subsampling to balance perceptual quality and decoding efficiency. ARCS selects an optimal (resolution, chroma format) pair for each bitrate by maximizing a composite quality-complexity objective, while enforcing monotonicity constraints to ensure smooth transitions between representations. Experimental results using x265 show that, compared to a fixed-format encoding (YUV444), on average, ARCS achieves a 13.48 % bitrate savings and a 62.18 % reduction in decoding time, which we use as a proxy for the decoding energy, to yield the same colorVideoVDP score. The proposed framework introduces chroma adaptivity as a new control dimension for energy-efficient video streaming.
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