论文标题
Funque：统一质量评估者的融合
FUNQUE: Fusion of Unified Quality Evaluators
论文作者
论文摘要
基于融合的质量评估已成为一种有力的方法，用于从单独实现较低性能的质量模型中开发高性能质量模型。这种算法的一个突出的例子是VMAF，该算法已被广泛作为视频质量预测的行业标准，以及SSIM。除了推进最先进的问题外，还必须减轻使用一组异质质量模型所带来的计算负担。在本文中，我们通过在一个占人类视觉系统的通用变换域上计算“原子”质量模型来统一质量模型，并提出了Funque，这是一种融合统一质量评估者的质量模型。我们证明，与最先进的Funque相比，由于计算共享，Funque与主观得分和效率的相关性都有显着改善。
Fusion-based quality assessment has emerged as a powerful method for developing high-performance quality models from quality models that individually achieve lower performances. A prominent example of such an algorithm is VMAF, which has been widely adopted as an industry standard for video quality prediction along with SSIM. In addition to advancing the state-of-the-art, it is imperative to alleviate the computational burden presented by the use of a heterogeneous set of quality models. In this paper, we unify "atom" quality models by computing them on a common transform domain that accounts for the Human Visual System, and we propose FUNQUE, a quality model that fuses unified quality evaluators. We demonstrate that in comparison to the state-of-the-art, FUNQUE offers significant improvements in both correlation against subjective scores and efficiency, due to computation sharing.
