Modular distributed audio-video processing method and system
By employing a modular distributed audio and video processing method, structured data is collected, preprocessed, and generated. Combined with deep neural networks and blockchain mechanisms, the scheduling bottlenecks and latency issues in existing audio and video processing technologies are resolved, enabling efficient and secure transmission and playback of teaching content.
Patent Information
- Application Number
- CN202610428301.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing audio and video processing solutions suffer from scheduling bottlenecks, high terminal latency, high network bandwidth pressure, and limited semantic understanding capabilities when running concurrently in multiple classrooms. They also lack dynamic scheduling mechanisms, resulting in audio and video data not being distributed efficiently and accurately to target terminal devices, which affects the teaching experience.
A modular distributed audio and video processing method is adopted. Audio and video signals from multiple classrooms are collected and preprocessed to generate structured data. Intelligent scheduling is performed based on scheduling parameters and blockchain mechanism to achieve traceability and access auditing of audio and video data. Semantic enhancement and format standardization are performed by combining deep neural network model to generate synchronized subtitle information.
It enables unified access to teaching content from multiple sources, improves data processing efficiency and resource utilization, ensures priority transmission of key content, enhances the readability of playback content and data security, and improves user experience.
Smart Images
Figure CN122420550A_ABST