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A Data-Driven Approach to Understanding Skill in Photographic Composition

机译:一种数据驱动的摄影构图理解方法

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摘要

Photography requires not only equipment but also skill to reliably produce aesthetically-pleasing results. It can be argued that, for photography, skill is apparent even without sophisticated equipment. However, no scientific tests have been carried out to confirm that supposition. For that matter, there has been little scientific study on whether skill is apparent, whether it can be discerned by judges in blind tests. We report results of an experiment in which 33 subjects were asked to use identical cameras to photograph each of 7 pre-determined scenes, including a portrait, landscapes, and several man-made objects. Each photograph was then rated in a double-blind manner by 8 judges. Of those judges, 3 are professional photographic experts, and 5 are imaging researchers. The results show that expert judges are able to discern photographic skill to a statistically significant level, but that the enthusiasts, who are more akin to the general public, are not. We also analyse the photos using computer vision methods published in the literature, and find that there is no correlation between human judgements and the previously-published machine learning methods.
机译:摄影不仅需要设备,而且还需要技巧来可靠地产生美观的结果。可以说,对于摄影来说,即使没有先进的设备,技巧也是显而易见的。但是,尚未进行任何科学测试来证实这一假设。为此,很少有科学研究来研究技能是否显而易见,是否可以由法官在盲法测试中辨别出来。我们报告了一项实验的结果,其中要求33名受试者使用相同的相机拍摄7个预定场景中的每个场景,包括肖像,风景和一些人造物体。然后由8位评委以双盲方式对每张照片进行评级。在这些评委中,有3名是专业的摄影专家,还有5名是成像研究人员。结果表明,专家级法官能够将摄影技巧辨别到具有统计学意义的水平,但更类似于普通大众的发烧友却不能。我们还使用文献中发表的计算机视觉方法对照片进行了分析,发现人类的判断与先前发布的机器学习方法之间没有关联。

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