An AI Driven Pipeline for 6G Enabled Digital Creatives Identification, Performance Monitoring and Attribution

In the growing creative marketing sector, a high volume of digital assets in the form of images and videos are often generated for various forms of advertising. It is critical to be able to track these assets back to the original high value photo and video shoots they are derived from as well as understanding in real-time how well they are performing and how they can be augmented to perform better in response to the needs and preferences of dynamic audiences. In this paper we propose a framework that leverages deep learning approaches that learns to match local features across images to tie master images to various derived digital assets. The proposed pipeline is further able to use audience responses to predict performances of assets with attribution mechanisms for analysing how the modification of asset features enhance or degrade performance. We finally discuss how 6G infrastructures would be used with the pipeline to facilitate real-time and dynamically responsive content intelligence.