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Cuno Amiet
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Three Swiss Painters
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The Expressionist Roots of Modernism
This book explores the beginnings of the interior design profession in nineteenth-century France. Drawing on a wealth of visual sources, from collecting and advice manuals to pattern books and department store catalogues, it demonstrates how new forms of print media were used to 'sell' the idea of the unified interior as a total work of art, enabling the profession of interior designer to take shape. In observing the dependence of the trades on the artistic and public visual appeal of their work, Interior decorating in nineteenth-century France establishes crucial links between the fields of art history, material and visual culture, and design history.
Three Swiss Painters
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Hermann Hesse
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Dogmatics Among the Ruins
In the second decade of the twentieth century the cultural life of Germany was transformed by the emergence of Expressionism, a series of vigorous, youthful artistic movements which were to exert a lasting influence on modern culture. In the same decade a young Swiss pastor called Karl Barth began a theological revolution, laying the foundations for probably the most influential body of Christian theology in the modern age. Some relationship between these two revolutions has long been assumed by scholars; yet it has never been examined in detail. The first part of this study addresses this omission, offering the most detailed analysis to date of the important relationship between Barth and E...
Three Swiss Painters
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Artistic Style Characteriza
Automatic style characterization is the process of measuring, extracting, and analysing different formal elements. Brushstroke technique, in conjunction with other formal elements such as colour and texture, play a vital role in defining an artistic style. This thesis explores the stroke-based style analysis of the paintings of Vincent van Gogh, who is well-known for his use of wide and repetitive brushstrokes. Novel brushstroke extraction techniques are used to segment and analyse Van Gogh’s brushstrokes. The extracted features can then be compiled into a feature set which represents the quantified brushstrokes’ properties and tested using several classification based tests. The most contributing factor for detecting visible brushstroke is the brushstroke’s texture, due to the fact that the texture-based segmentation methods give more satisfactory results in extracting visible brushstrokes with their average classification accuracy and F-measure being 98.30% and 0.973 respectively.
