Participants discussed paintings they liked and disliked with artists who were or were not personally invested in them. Participants were urged to be honest or polite or were given no special instructions. There were no conditions under which the artists received totally honest feedback about the paintings they cared about. As predicted by the defensibility postulate, participants stonewalled, ...

We show that some impassioned van Gogh paintings display scaling properties similar to the observed in turbulent fluids, suggesting that these paintings reflect the fingerprint of turbulence with such a realism that is even consistent with the way that a mathematical model characterizes this phenomenon. Specifically, we show that the probability distribution function (PDF) of luminance fluctuat...

This paper addresses the problem of semantic analysis of paintings by automatic detection of the represented scene type. The solution comes as an incipient effort to fill the gap already stated in the literature between the low level computational analysis and the high level semantic dependent human analysis of paintings. Inspired by the way humans perceive art, we first decompose the image in ...

In this paper, we present a method which combines the flexibility of the neural algorithm of artistic style with the speed of fast style transfer networks to allow real-time stylization using any content/style image pair. We build upon recent work leveraging conditional instance normalization for multi-style transfer networks by learning to predict the conditional instance normalization paramet...

key words: wall paintings, rocky hewn churches, Cappadocia (Turkey), pigments, Raman spectroscopy, Fourier transform infrared spectrometry This paper presents the results of the analysis on the rock hewn wall paintings of eleven churches in Cappadocia, Turkey. A large group of churches in the region of Nevşehir were analysed in order to increase the database of materials and techniques of medie...

Paintings are of great value of art, especially in the era of early modern Europe, a lot of talented painters emerged and gave the world a great amount of fortune. It was probably not too much later that art forgeries emerged after the art value has been discovered [1]. It becomes obviously important for art experts to identify various paintings of different painters. The traditional ways of do...

While literature often tries to impute mathematical constants into art, this large-scale study (11 databases of paintings and photos, around 200.000 items) shows a different truth. The analysis, consisting of the width/height propor‐ tions, shows a value of rarely if ever one (square) and with majority of images having a proportion larger than one, but less than e.g. the golden ratio. Further‐ ...

With the vast expansion of digital contemporary painting collections, automatic theme stylization has grown in demand in both academic and commercial fields. The recent interest in deep neural networks has provided powerful visual features that achieve state-of-the-art results in various visual classification tasks. In this work, we examine the perceptiveness of these features in identifying ar...

In this paper, a feature-detecting algorithm to identify paintings from mobile phone camera images is presented. The algorithm is capable of identifying paintings from noisy camera-phone images. Even with typical blurring, rotation, and a small amount of perspective distortion that would occur in a controlled museum setting, by training on a set of standard painting images, the paintings can be...