Automated Video Stream Arrangement Based on 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 users have full control over settings and actions, but users experience distractions and inefficiencies due to manual management of recording settings, participant arrangements, and connectivity issues
Solution Approach 1:
The system automatically performs videoconferencing actions by analyzing media content and executing predetermined actions without requiring manual user intervention. The processor monitors video and audio streams, detects specific content patterns, and automatically performs actions such as starting/stopping recordings, muting participants, and rearranging video streams based on the detected content.
2Productivity
If automated content-based actions are implemented, then manual intervention is reduced and efficiency improves, but system complexity increases due to content determination engine and action generation mechanisms
Solution Approach 1:
The system introduces a content determination engine as an intermediary component that analyzes media content and translates it into actionable decisions. This engine processes video and audio streams, identifies relevant content patterns, and generates appropriate actions based on predetermined rules, thereby automating complex decision-making processes without requiring users to manually manage each setting.
3Reliability
If comprehensive recording of entire videoconference is performed, then all content is captured, but excessive time is required to find relevant information in long recordings
Solution Approach 1:
The system performs preliminary actions by automatically starting and stopping recordings based on detected content patterns. It identifies relevant segments such as presentations or discussions and records only those portions, rather than recording the entire videoconference continuously. This preliminary segmentation of content based on automated detection reduces the total recording duration and makes it easier to locate specific information.
4Adaptability or versatility
If host manually manages participant arrangements and settings, then customization and control are maximized, but host becomes distracted from delivering the videoconference
Solution Approach 1:
The system automatically manages participant arrangements and settings by analyzing media content and executing appropriate actions. It detects when participants should be muted, when recordings should start or stop, and how video streams should be arranged, thereby freeing the host from manual management tasks and allowing them to focus on delivering the videoconference content.
Data Source
AI summary
Systems and methods are provided for automatically arranging the display of a plurality of videos on a display of a computing device. One example method includes receiving, at the computing device, a plurality of video streams. An order in which to display the video streams is determined, based on the video of the video streams. The plurality of video streams is displayed on a display of the computing device based on the determined order.