Recently, feature representation by learning algorithms has drawn great attention. In the music domain, it is either unsupervised or supervised by semantic labels such as music genre. However, finding discriminative features in an unsupervised way is challenging, and supervised feature learning using semantic labels may involve noisy or expensive annotation. In this paper, we present a feature ...

Our approach to generate recommendations for similar artists follows a recent tradition of authors tackling the problem not with content-based audio analysis. Following this novel procedure we rely on the acquisition, filtering and condensing of unstructured text-based information that can be found in the web. The beauty of this approach lies in the possibility to access so-called cultural meta...

The paper begins with a response to the nature of contemporary artists relationships to how computers have permeated the fine art domain and how they affect the creative process. How should artists utilize this tool in order to fully understand and explore its potential? Using the example of a recent project I have undertaken called 'nGen', I shall discuss some aspects of how the computer tool ...

A major part of the focus for this year’s Association for Medical Humanities conference in Truro (10–12 July) will be to examine the perspective of the artist within medical humanities. In part, this is being raised because it is felt that individual artists can become invisible in our field; it is their work that is displayed, discussed, made example of, often without attribution. One of us re...

Traditional art is one of Nigerian cultural heritage. It is an excellent instrument for documentation and identification. Antiquities are priceless and irreplaceable. They are basically preserved for future generations. Sadly, preserving these highly prized cultural heritage is becoming a serious challenge. This paper examines the extent modernization has affected the preservation of traditiona...

In this paper we discuss a tool for annotation and search in a collection of art images. Multiple existing Thesaurus may be used to support this process, including the Art and Architecture Thesaurus, WordNet, ULAN and Iconclass. We discuss knowledge-engineering aspects such as the annotation methodology, and the use of taxonomic dynamic search. The annotation and search process are illustrated ...

Though there are a variety of graphics tablets, these do not necessarily allow an artist to interact with the computer as if handling traditional pens and brushes. A study of practising artists indicates that haptic and propriaptic feedback respectively of pen pressure and motion, together with a direct view of the image being created, is required. Flat-screen LCD (Liquid Crystal Display) techn...

Recently the ‘Million Song Dataset’, containing audio features and metadata for one million songs, was made available. In this paper, we build a convolutional network that is then trained to perform artist recognition, genre recognition and key detection. The network is tailored to summarize the audio features over musically significant timescales. It is infeasible to train the network on all a...