对比四种视频压缩框架下三种时间信息缓存策略的效果
A Cross-Framework Study of Temporal Information Buffering Strategies for Learned Video Compression
- 统一实验下测试显式、隐式、混合缓存策略
- 不同编码框架对时间信息利用方式影响显著
- 为高效视频压缩提供可复用的设计参考
近期基于学习的视频编码技术展现出卓越的压缩效率。两大关键设计要素是帧间编码框架与时间信息传播策略。帧间编码框架包括残差编码、条件编码、条件残差编码和掩码条件残差编码，各自采用不同机制利用时间预测。时间传播方法可分为显式、隐式或混合缓冲，区别在于如何存储和使用过去解码信息。然而，覆盖所有组合的系统性研究仍缺乏。本文在统一实验设置下，系统评估了显式、隐式和混合缓冲在四种帧间编码框架下的编码性能影响，提供了对其有效性的全面理解。
原文摘要 · Abstract (English)
Recent advances in learned video codecs have demonstrated remarkable compression efficiency. Two fundamental design aspects are critical: the choice of inter-frame coding framework and the temporal information propagation strategy. Inter-frame coding frameworks include residual coding, conditional coding, conditional residual coding, and masked conditional residual coding, each with distinct mechanisms for utilizing temporal predictions. Temporal propagation methods can be categorized as explicit, implicit, or hybrid buffering, differing in how past decoded information is stored and used. However, a comprehensive study covering all possible combinations is still lacking. This work systematically evaluates the impact of explicit, implicit, and hybrid buffering on coding performance across four inter-frame coding frameworks under a unified experimental setup, providing a thorough understanding of their effectiveness.
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