Michael O. Jewell

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Existing methods of music composition vary from probability-based techniques to grammatical generation methods, yet the majority focus on the creation of independent pieces with no ties to other media. Our Concept-Based Sequencer (CBS) aims to use semantic markup of temporal media in combination with Genetic Algorithms to generate music that can fit(More)
— Large arrays of cameras are increasingly being employed for producing high quality image sequences needed for motion analysis research. This leads to the logistical problem with coordination and control of a large number of cameras. In this paper, we used a lightweight multi-agent system for coordinating such camera arrays. The agent framework provides(More)
Current techniques for automated composition use a single algorithm, focusing on one aspect of musical generation. In our system we make use of several algorithms, distributed using an agent oriented middleware, with each specialising on a separate aspect of composition. This paper describes the architecture and algorithms behind this system, with a focus(More)
With the growing ubiquity of mobile devices, new ways of sensing context and the emergence of the mobile Web, digital storytelling is escaping the confines of the desktop and intertwinging in new and interesting ways with the physical world. Mobile, location aware, narrative systems are being applied to a range of areas including tour guides, educational(More)
The promise of the Semantic Web is to democratise access to data, allowing anyone to make use of and contribute back to the global store of knowledge. Within the scope of the OMRAS2 Music Information Retrieval project, we have made use of and contributed to Semantic Web technologies for purposes ranging from the publication of music recording metadata to(More)
This paper describes a lightweight middleware agent framework (LAF) for coordinating a large array of computers with attached cameras to construct high resolution video-rate image sequences. Compared to existing camera mid-dleware, LAF provides more than a remote sensor access API. The use of an agent framework allows reconfigurable and transparent access(More)
Most work around technological interventions for energy conservation to date has focussed on changing individual behaviour. Hence, there is limited understanding of communal settings, such as office environments, as sites for intervention. Even when energy consumption in the workplace has been considered, the emphasis has typically been on the individual.(More)
The Narrative Paradox is a theory that describes interaction and narrative cohesion as being in tension, and asserts that the structure of a narrative is disrupted by user adaptivity, leading to possible incoherence as the system accounts for interaction. We propose an approach that may reduce this disruption. Specifically, we propose to model a narrative(More)
At an archaeological dig, interpretations are built around discovered artifacts based on measurements and informed intuition. These interpretations are semi-structured and organic, yet existing tools do not capture their creation or evolution. Patina of Notes (PoN) is an application designed to tackle this, and is underpinned by the Xeros data model. Xeros(More)
In this paper we present the design and evaluation of the Temperature Calendar -- a visualization of temperature variation within a workplace over the course of the past week. This highlights deviation from organizational temperature policy, and aims to bring staff "into the loop" of understanding and managing heating, and so reduce energy waste. The(More)