While video compression algorithms effectively reduce bitrate, aggressive quantization often compromises temporal coherence, introducing artifacts such as flicker, motion inconsistency, and unstable textures. Although spatial quality degradation is well-documented, the relationship between compression intensity and temporal stability remains insufficiently characterized. This paper systematically examines the progression of frame-to-frame coherence errors across different bitrate regimes, utilizing multiple codecs (AV1, HEVC, VP9, H.264) and content types. Our findings reveal that temporal consistency degrades non-linearly with increasing compression. Most critically, we identify a "Predictability anomaly" where sequences with unpredictable or irregular dynamics experience disproportionately higher instability than sequences with higher, but more predictable, motion magnitude. This challenges the conventional assumption that motion volume alone dictates encoding difficulty and highlights the necessity of temporal-aware metrics in compression pipelines.

翻译：虽然视频压缩算法能有效降低比特率，但激进的量化操作往往会损害时间相干性，引入闪烁、运动不一致性及纹理不稳定等伪影。尽管空间质量退化已有充分文献记载，压缩强度与时间稳定性之间的关系仍未得到充分表征。本文系统研究了不同比特率区间下帧间一致误差的演变规律，采用了多种编解码器（AV1、HEVC、VP9、H.264）及内容类型。研究结果表明，时间一致性随压缩增强呈非线性退化趋势。尤为关键的是，我们发现了"可预测性异常"现象：具有不可预测或不规则动态特征的序列所呈现的不稳定性，显著高于运动幅度更大但可预测性更强的序列。这一发现挑战了"仅凭运动量即可决定编码难度"的传统假设，并揭示了在压缩流程中引入时间感知型评估指标的必要性。