Project Details
Description
This research seeks to investigate the potential for AI video recognition software to improve the efficiency and accuracy of time-lapse data analysis of cultural interventions in public space and festivalised environments.
Layman's description
In this RIF funded research I use existing AI platforms to analyse large datasets of video footage taken at outdoor arts festivals and focusing on audience behaviours such as proximity and stay-length as well as making counts of audience engagements with performances. This research fills a knowledge gap in the industry and arts funding ecology and has significance for informing policy and how outdoor performances are planned and created.
| Short title | Video AI |
|---|---|
| Status | Active |
| Effective start/end date | 1/02/22 → 31/08/25 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Research Institutes
- Institute for Creative Enterprise
Research Centres
- Centre for Social Responsibility
Research Groups
- Practice Research Group
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