发现视频压缩时，动态不可预测的片段更易出现时间不一致问题。
Evaluating the Effect of Compression on Video Temporal Consistency Using Objective Quality Metrics
- 用多种编码器和内容类型测试不同码率下的帧间一致性
- 发现时间一致性随压缩强度非线性下降，存在预测异常现象
- 适合关注视频质量评估与编码优化的研究者
虽然视频压缩算法能有效降低码率，但激进的量化常导致时间连贯性受损，引发闪烁、运动不一致和纹理不稳定等伪影。尽管空间质量退化已有充分研究，压缩强度与时间稳定性之间的关系仍缺乏系统刻画。本文系统分析了不同码率下多编码器（AV1、HEVC、VP9、H.264）和内容类型中的帧间一致性误差演变。结果表明，时间一致性随压缩强度非线性下降。最关键的是，我们发现了‘可预测性异常’：动态不可预测或不规则的序列比运动幅度更大但更可预测的序列表现出显著更高的不稳定性。这一发现挑战了‘运动量决定编码难度’的传统假设，凸显了在压缩流程中引入时间感知指标的必要性。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。