Automated Program Generation for Multi-Screen Digital Broadcasting
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Solution Overview
Problem
The existing methods for managing and broadcasting programs on LED and LCD screens in environments like airports, subways, and high-speed railway platforms require manual production and typesetting, leading to high workload and low efficiency.
Innovation Solution
A program generation and broadcasting system that automates the process by uploading media materials, auditing for illegal content using deep learning, selecting display terminals, and generating program information for automated broadcasting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual production and typesetting of program content is used, then program quality can be controlled, but workload increases and production efficiency decreases
Solution Approach 1:
The system enables automated program generation where the program editor automatically produces program content based on uploaded materials and template selection, eliminating the need for manual typesetting and production operations
Solution Approach 2:
Manual mechanical operations of program production and typesetting are replaced by an automated computer-based system that generates programs through algorithmic processing of uploaded materials and template application
2Productivity
If automated program generation is implemented, then production efficiency improves, but system complexity increases
Solution Approach 1:
Program templates serve as intermediaries between uploaded materials and final program output, providing a structured framework that simplifies the automation process while maintaining output quality and consistency
Solution Approach 2:
The program generation process is divided into distinct segments: material upload, template selection, automatic generation, and review, allowing each component to be independently managed and reducing overall system complexity
3Reliability
If deep learning audit is applied to media materials, then content security is improved, but processing time increases
Solution Approach 1:
Media materials are audited for illegal content using deep learning models before being incorporated into programs, ensuring security compliance is established in advance rather than during or after program creation
Data Source
AI summary
The present disclosure provides a program generation method, a program broadcasting method, a program generation device, a program broadcasting device, and a program generation system. The program generation method for a server includes: obtaining a media material uploaded by a user, and auditing the media material; selecting a target display terminal; receiving program parameter information inputted by the user; generating information about a target program in accordance with the program parameter information and a display parameter of the target display terminal, the information about the target program including program information and plan information, the program information being used to indicate information about the media material in the program, and the plan information being used to indicate a broadcasting mode of the program; and transmitting the information about the target program to the target display terminal.

