Aydın Tunç Ozan, Smolic Aljoscha, Gross Markus
IEEE Trans Vis Comput Graph. 2015 Jan;21(1):31-42. doi: 10.1109/TVCG.2014.2325047.
We present a perceptually calibrated system for automatic aesthetic evaluation of photographic images. Our work builds upon the concepts of no-reference image quality assessment, with the main difference being our focus on rating image aesthetic attributes rather than detecting image distortions. In contrast to the recent attempts on the highly subjective aesthetic judgment problems such as binary aesthetic classification and the prediction of an image's overall aesthetics rating, our method aims on providing a reliable objective basis of comparison between aesthetic properties of different photographs. To that end our system computes perceptually calibrated ratings for a set of fundamental and meaningful aesthetic attributes, that together form an "aesthetic signature" of an image. We show that aesthetic signatures can still be used to improve upon the current state-of-the-art in automatic aesthetic judgment, but also enable interesting new photo editing applications such as automated aesthetic analysis, HDR tone mapping evaluation, and providing aesthetic feedback during multi-scale contrast manipulation.
我们提出了一种用于对摄影图像进行自动美学评估的感知校准系统。我们的工作基于无参考图像质量评估的概念，主要区别在于我们专注于对图像美学属性进行评级，而非检测图像失真。与近期针对诸如二元美学分类和图像整体美学评级预测等高度主观的美学判断问题所做的尝试不同，我们的方法旨在为不同照片的美学属性之间提供可靠的客观比较基础。为此，我们的系统为一组基本且有意义的美学属性计算感知校准评级，这些属性共同构成图像的“美学特征”。我们表明，美学特征不仅可用于改进当前自动美学判断的技术水平，还能实现有趣的新照片编辑应用，如自动美学分析、HDR色调映射评估以及在多尺度对比度操作期间提供美学反馈。
