Championed by world leading news agencies and broadcasters, this Accelerator Challenge aims to address and deliver a proof of concept solution to what is today a manual and very costly process for media organisations; producing shot lists of raw and edited content, with written depictions stored alongside the video in the archive.
The Challenge is to fully automate that process by exploiting some key capabilities of AI, using face, object and voice recognition plus sentiment analysis and machine learning to replace the labour-intensive process of producing shot lists of raw and edited content.
AI is already applied to video - tags assist search and discovery, semantic and sentiment analysis enrichment is widespread - but no single solution exists to replace the human effort of creating a shot by shot, narrative depiction of the asset, thus freeing producer time for more creative work.
This project requires leading AI technology expertise to combine resources and knowledge with the media organisation ‘Champions’ to help emancipate video producers from tens of thousands of hours spent manually creating shot lists in written narrative form.
Vital creative resources are diverted to this semi-skilled, though nonetheless essential task.
The Associated Press (AP), as one of the Champions of this Challenge, is already working with two vendors and now - under the IBC Accelerator banner - we seek others to join the quest to solve this industry-wide problem.