Evaluation of Artificial Intelligence and Machine learning in 5G media services
The present document provides details on feasibility evaluations for a given set of scenarios related to AI/ML in media services. In particular, aspects related the feasibility of split inferencing between different entities and the characteristics of the subsequent intermediate data are documented. A set of anchors and related metrics are defined to evaluate the feasibility and characteristics of such scenarios in terms of service requirements (such as service latency, inference accuracy, network bandwidth etc.). The transmission of relevant data in AI/ML media services is also considered, with evaluations on the compression technologies of data components such as AI/ML models. The functional aspects related to the AI/ML media services given in this document are presented in TR 26.927 [3].