Design and Implementation of Radio and Television Automated Editing and Broadcasting System Based on AI Technology
Aiming at the problems of low artificial efficiency and insufficient intelligence of traditional broadcast system,this paper designs an automatic broadcast system based on Artificial Intelligence(AI)technology.The system consists of three modules:content management,intelligent scheduling and broadcast control,and uses deep learning,knowledge graph and reinforcement learning to realize intelligent analysis,optimal scheduling and automatic broadcast control.The experimental results show that the system can shorten the program preparation time from 30 min to 5 min,the program correlation accuracy rate is 95.2%,and the failure rate is controlled within 0.01%,which significantly improves the production and broadcast efficiency and broadcast quality of radio and television programs.
Artificial Intelligence(AI)automated editing and broadcastingknowledge graph
NETL
NSTL
万方数据
