based artists Lyn Blumenthal and Kate Horsfield began videotaping informal interviews with women artists. In the years that followed, as both Blumenthal and Horsfield completed MFA degrees at the School of the Art Institute and established the Video Data Bank (VDB) there in 1976, the two continued to collaboratively videotape interviews, formalizing the interview series under the name On Art an...

In this paper, we use multiwavelet transforms to perform texture classification on twelve Brodatz textures. To increase the correct classification rate, feature selection is considered. Here we use the coevolutionary algorithm rather than the genetic algorithm (GA) which is widely used in many researches to accomplish the training phase of feature selection. In the classification phase, the mea...

A method of rotation invariant texture classification based on spatial frequency model is developed. Features are derived from the multichannel Gabor filtering method. The classification performance is first tested on a set 1440 samples of 15 Brodatz textures rotated in 12 directions (0 to 165 in steps of 15 degrees). For the 13-class problem reported in [13] we got better classification with o...

An efficient texture representation for unsupervised segmentation is addressed based on the concept of Wold decomposition. Textures are described by the wavelet tuned to various scales and rotations to describe its deterministic component, and by the autogressive model to describe its indeterministic component. The wavelet features and the AR parameters capturing the perceptual properties, "per...

In his “Notes of a Painter,” Henri Matisse states that “[a]ll artists bear the imprint of their time, but the great artists are those in whom this is most profoundly marked.” 1 In the late 19th and early 20th centuries, the time of Paul Cézanne and Henri Matisse, industrial and scientific developments transformed the world into a system that could be analyzed and understood through science. 2 T...

We argue that Digital Rights Management technologies can serve a number of marketing purposes that will make it easier for newcoming artists to expose their products to consumers and that will allow established artists to fine tune their offerings to consumers'

We describe an artist recommendation system which integrates several heterogeneous data sources to form a holistic similarity space. Using social, semantic, and acoustic features, we learn a low-dimensional feature transformation which is optimized to reproduce human-derived measurements of subjective similarity between artists. By producing low-dimensional representations of artists, our syste...