It can be difficult to believe just how complicated the process of producing the quality of professional video stories produced by broadcasters and published on TV and New media. The current workflow is difficult, expensive and time-consuming, high barrier to entry, requires expertise and involving many different machines and expensive equipment. An example workflow might include research & writing scripts, recording video, recording audio, editing them together, adding text on video via subtitles or as can be found on 'silent videos' you might find on Facebook, as well as adding more advanced graphics as per many news channels. Each one of these activities requires different tools. Vizrt and The University of Bergen are partnering in this research project in order to explore how we might lower the barrier to entry and simplify this workflow such that these workflows become as available as possible. The research focuses on answering the following two questions: 1. How can collaborative tools help improve workflows? 2.How can we use AI techniques to aid workflows? We believe this project will benefit both Vizrt by potentially opening up new markets as well providing valuable industry data to researchers and helping democratise the media landscape. Success in this project could help bring about positive societal change through innovating and lowering the barrier to entry to a high quality video production workflows while providing valuable insights to the greater scientific community.
Project leader: Even Normann
Institution: VIZRT NORWAY AS