AI-Oriented Large-Scale Video Management for Smart City: Technologies, Standards, and Beyond

Deep learning has achieved substantial success in intelligent video analysis. To practically facilitate deep neural network models in the large-scale video analysis, there are still unprecedented challenges. Deep feature coding, instead of video coding, provides a practical solution for handling the large-scale video surveillance data. To enable interoperability in the context of deep feature coding, standardization is urgent and important. This paper envisions the future deep feature coding standard for the AI-oriented large-scale video management and discusses existing techniques, standards, and possible solutions for these open problems.