This paper presents an automatic digital image classification system for the recognition of the artistic genre of paintings represented in consumer-quality digital images. The system is developed as a tool that helps a better understanding of visual arts by untrained users and is a first step into an automatic art painting guide. The developed system is based on the classical feature space para...

the iranian world has a well-established tradition of images that goes back to anitiquity. the structure relation between text and image become increasingly intricate in illustrated manuscripts, at least from the middle of forteenth century onwards. these links can be observed through the composition and layout of the paintings. these relations seem to be expressed in some persian poetical text...

We describe the design and implementation of a collaborative, computer-based finger painting program for children using a new hardware input device called a MultiTouch Surface (MTS). The MTS uses a flat surface about the size of a keyboard to track multiple, simultaneous finger motions, which we transform into paint strokes on a screen. We describe related work and explain how our program desig...

Traditional Chinese painting (”Guohua”) is the gem of Chinese traditional arts. More and more Guohua images are digitized and exhibited on the Internet. Effectively browsing and retrieving them is an important problem need to be addressed. This paper proposes a method to categorize them into Gongbi and Xieyi schools, which are two basic types of traditional Chinese paintings. A new low-level fe...

We have developed a novel coincidence cloning strategy, termed Coincidence Painting, which enables the rapid generation of large numbers of region specific sequences. Coincidence Painting utilises Degenerate Oligonucleotide Primed PCR (DOP-PCR) amplification of flow sorted derivative translocation chromosomes. The PCR products are hybridised in situ onto specific flow sorted chromosomes for coi...