Artificial intelligence in the production of sports content

Sports productions are often about creating content as quickly as possible. However, this is only possible if the editors can easily find the relevant scenes and clips during editing. This is exactly where semantic search comes in, as it offers much more than searching via metadata or tags. A concrete example: If you search for the term “peaceful” in the clip archive using the semantic search, you will get a clip of a sleeping cat as well as a sunset or rolling hills as a result. For editors looking for archive, edited, near-live or live material, this opens up completely new possibilities for finding content.

There are a number of companies working on integrating this functionality into their asset management systems. One of these is the Fonn Group from Norway, whose MAM system Mimir is pursuing a cloud-based production approach. Incidentally, this has also enabled Dyn Media with this approach. The German streaming service uses Mimir for the production of its program. The Berlin-based company Obvious Future goes one step further with its product Cara One. CEO Eddi Weinwurm: “We wanted to develop an AI that doesn’t feel artificial, which is why we call Cara One an intelligent media assistant and not an artificial intelligence. Cara One enables a search with an understanding of the world, so to speak”.