In the emerging inter-disciplinary field of art and image processing, algorithms have been developed to assist the analysis of art work. In most applications, especially brush stroke analysis, high resolution digital images of paintings are required to capture subtle patterns and details in the high frequency range of the spectrum. Algorithms have been developed to learn styles of painters from...

Artistic image understanding is an interdisciplinary research field of increasing importance for the computer vision and art history communities. One of the goals of this field is the implementation of a system that can automatically retrieve and annotate artistic images. The best approach in the field explores the artistic influence among different artistic images using graph-based learning me...

In recent years, painterly rendering techniques have achieved remarkable success for simulating water color, oil and oriental ink paintings. Many artistic filters, such as [DeCarlo and Santella 2002; Collomosse and Hall 2006] have been proposed for converting real photos into painting style by applying the global operation with minimum user interaction. Although artistic filters are particularl...

A support environment for audio-related artistic design is described. The rst part of the paper identiies requirements for artistic design support through an analysis of music composition activities, and presents an artistic design system object model adapted from the more conventional engineering design system technology. The second part examines the problems of representation, visualisation a...