Recent advances in affective and semantic media applications at the BBC

In this paper, we give an overview of recent BBC R&D work on automated affective and semantic annotations of BBC archive content, covering different types of use-cases and target audiences. In particular, after giving a brief overview of manual cataloguing practices at the BBC, we focus on mood classification, sound effect classification and automated semantic tagging. The resulting data is then used to provide new ways of finding or discovering BBC content. We describe two such interfaces, one driven by mood data and one driven by semantic tags.