We position ourselves in what we like to call a BIG VIDEO programme within the Immersive Digital Humanities. We use this rather facile term to suggest an alternative to the hype about quantitative big data analytics. Basically, we are hoping to develop an enhanced infrastructure for qualitative video analysis with innovation in four key areas:
- capture, storage, archiving and access of digital video;
- visualisation, transformation and presentation, eg. 360mash;
- collaboration and sharing, eg. CAVA360VR;
- and qualitative tools to support analysis, eg. DOTE, AVA360VR and SQUIVE.
BIG VIDEO involves dealing with complex human data capture scenarios, large databases and distributed storage, computationally intensive virtualisation and visualisation of concurrent data streams, distributed collaboration and necessarily a new big video data ethics – and, of course, we are only interested in these matters because analysis comes first (or, as they say in the 3D and VR industry, it is always the story that comes first).