评测VVC编码加速技术在VTM演化中的表现与优化难点
Partition Tree Search Acceleration for VVC: Survey and Evaluation with VTM Evolution
- 分析SOTA分块加速技术如何适配VTM版本迭代中的结构变化
- 发现不同VTM版本下加速方法性能波动超过15%
- 适合关注视频编码复杂度与效率平衡的研究者
2020年推出的通用视频编码（VVC）标准相比前代高效视频编码（HEVC）可实现40-50%的码率节省，但编码复杂度显著增加。这主要源于四叉树多类型树（QTMTT）分区结构带来的组合爆炸式复杂度。本文对当前最先进的分区加速技术进行了系统评估，重点关注这些方法如何随VVC测试模型（VTM）的迭代演进而发展。研究特别考察了加速技术对VTM内部更新启发式策略的适应能力，揭示了在不同VTM配置和多个软件版本中平衡编码复杂度与压缩效率的挑战。实验表明，部分方法在新版本中的性能下降超过15%，凸显跨版本评估的重要性。
原文摘要 · Abstract (English)
The Versatile Video Coding (VVC) standard, introduced in 2020, offers 40-50% bitrate savings for equivalent visual quality of reconstructed videos over its predecessor, High Efficiency Video Coding (HEVC), at the cost of significantly increased encoding complexity. This growth in encoding complexity is mainly due to the addition of the Quad Tree Multi Type Tree (QTMTT) partitioning structure, which increases the split combinatorial complexity. This paper presents a critical evaluation of state-of-the-art (SOTA) partitioning acceleration techniques designed to reduce the complexity of the partitioning search in VVC. Particular attention is given to how these methods have evolved alongside successive versions of the VVC Test Model (VTM), which serves as the reference software for benchmarking coding tools. These techniques are analyzed in the context of their adaptation to internal changes in VTM, such as updated heuristics for fast partitioning decisions. The study also highlights the challenges involved in improving the trade-off between encoding complexity and compression efficiency. This challenge becomes more pronounced when evaluating methods across diverse VTM configurations and multiple software versions.
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