Automated Videoconference Action Engine Using Content Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current videoconferencing systems require manual operation, leading to distractions and inefficiencies, such as managing recording settings, handling participant arrangements, and addressing connectivity issues, which can result in missed content or excessive time searching for relevant information.
Innovation Solution
Implementing a system that automatically performs actions based on media content analysis, using a content determination engine to identify video and audio content and generate corresponding actions, such as alerting users, muting participants, rearranging video streams, and responding to connectivity issues, through natural language processing and network monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation is used for videoconferencing functions, then user control and flexibility are maintained, but user distraction and inefficiency increase
Solution Approach 1:
The system automatically performs videoconferencing functions by analyzing media content and executing actions without requiring manual user intervention. The content determination engine detects presentations, discussions, and other events, then automatically records appropriate segments, adjusts participant arrangements, and manages recording settings based on the detected content type.
2Reliability
If recording is manually managed, then recording accuracy can be controlled, but time loss and work overhead increase
Solution Approach 1:
The system performs preliminary classification of media content into different event types (presentations, discussions, etc.) during the videoconference itself. By identifying and marking these segments in real-time, the system prepares the recorded content for automatic segmentation and filtering, eliminating the need for post-conference manual review and editing.
3Adaptability or versatility
If configurable options are made available, then system functionality is enhanced, but user distraction increases
Solution Approach 1:
The system extracts and automates the complex configuration and control functions from manual user operation. The content determination engine and action generator handle participant arrangement, recording management, and setting adjustments automatically, removing these distracting tasks from the host's workflow while preserving full system functionality.
4Extent of automation
If automated content-based actions are implemented, then user experience is enhanced and manual intervention is reduced, but system complexity increases
Solution Approach 1:
The content determination engine serves as an intermediary layer between the media input and the action execution system. It analyzes video and audio content, determines event types, and generates appropriate actions without requiring complex direct integration between all system components, thereby managing system complexity while enabling automated functionality.
Data Source
AI summary
Systems and methods are provided for automatically selecting a mute function based on audio content. One example method includes receiving, at a first computing device, a first audio input and, from a second computing device, a second audio input.Content of the first audio input and the second audio input is determined with natural language processing. Whether the content of the first audio input corresponds to the content of the second audio input is determined. A mute function is operated at the first computing device, based on the determination of whether the content of the first audio input corresponds to the content of the second audio input.