论文标题
使用时空芯片的无参考视频质量评估
No-Reference Video Quality Assessment Using Space-Time Chips
论文作者
论文摘要
我们根据视频时空芯片的自然统计数据提出了一种新的原型模型，用于无参考视频质量评估（VQA）。时空芯片（ST-CHIPS）是一个新的，质量意识的功能空间，我们将其定义为由当地运动流确定的方向上的时空局部剪辑。我们使用参数化的分布拟合到时空芯片的带通直方图来表征质量，并表明这些模型的参数受到失真的影响，因此可以客观地预测视频的质量。我们称为CHIPQA-0的原型方法对影响视频的失真类型不可知，并且基于识别和量化与自然，不隔离的ST-CHIP的预期统计数据的偏差，以预测视频质量。我们在几个大型VQA数据库上训练和测试我们的模型，并表明我们的模型与人类对视频质量的判断的高度相关性高，并且与最先进的模型具有竞争力。
We propose a new prototype model for no-reference video quality assessment (VQA) based on the natural statistics of space-time chips of videos. Space-time chips (ST-chips) are a new, quality-aware feature space which we define as space-time localized cuts of video data in directions that are determined by the local motion flow. We use parametrized distribution fits to the bandpass histograms of space-time chips to characterize quality, and show that the parameters from these models are affected by distortion and can hence be used to objectively predict the quality of videos. Our prototype method, which we call ChipQA-0, is agnostic to the types of distortion affecting the video, and is based on identifying and quantifying deviations from the expected statistics of natural, undistorted ST-chips in order to predict video quality. We train and test our resulting model on several large VQA databases and show that our model achieves high correlation against human judgments of video quality and is competitive with state-of-the-art models.
