This is a preliminary proposal to encode the ‘Old Sogdian’ script in Unicode. This script appears in the ‘Sogdian Ancient Letters’ from the early 4th century . It developed into the ‘cursive’ / ‘sūtra’ / ‘formal’ Sogdian script by the 6th century, which in turn evolved into the ‘Uyghur’ Sogdian script by the 11th century. These later forms are more commonly associated with the term ‘Sogdian scr...

this paper is an attempt to explain the form and components of iranian female painters artworks in the 70s and80s hijri. it seeks to assess women’s paintings of two decades ago in comparison with current iranian artworks. undoubtedly, the growth in the number of those who produce artworks motivates the researcher to study women’s produced paintings to identify iran’s current art field. to achie...

The hands and mind of an artist are intimately involved in the creative process of image formation, intrinsically making paintings significantly more complex than photographs to analyze. In spite of this difficulty, several years ago the artist David Hockney and I identified optical evidence within a number of paintings that demonstrated artists began using optical projections as early as c1425...

While artists demonstrate their individual styles through paintings and drawings, how to describe such artistic styles well selected visual features towards computerized analysis of the arts remains to be a challenging research problem. In this paper, we propose an integrated feature-based artistic descriptor with Monte Carlo Convex Hull (MCCH) feature selection model and support vector machine...

Artists have long explored the way in which we see the world, and they have developed their own tools to portray their vision. The present study investigated whether the compositional information in paintings, an artistic device invented by artists, is utilized when people view paintings. In Experiment 1, we categorized paintings depending on their compositions through experts' ratings. Using t...

Current work in author identification is primarily directed towards music classification. Identification of artists by analyzing features of their work has recently gained interest. As a multiclass classification problem, potentially applicable machine learning approaches to the problem are numerous. We propose to extend present work in this area, which uses Naïve Bayes classifiers and multi-cl...