Natural Language Markup for Meeting Content Synchronization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current online meeting technologies struggle to synchronize shared content among multiple presenters, often requiring manual switching between presenters and lacking features for seamless content sharing and participant highlighting.
Innovation Solution
The introduction of a natural language markup system that allows for the detection of visual objects in shared content, enabling automatic replacement with additional content, such as video feeds or content from different applications, and facilitating smooth transitions between presenters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual switching between presenters is used, then control over content sharing is maintained, but meeting smoothness and efficiency deteriorate
Solution Approach 1:
The system automatically detects visual objects in shared content and replaces them with appropriate participant video feeds without manual intervention. The meeting platform performs self-service by autonomously identifying when a participant should be highlighted based on visual cues in the shared content, eliminating the need for manual switching operations.
Solution Approach 2:
The manual mechanical process of switching between presenters is replaced with an automated digital system that uses computer vision and image processing to detect visual objects and automatically replace them with participant video feeds, substituting manual control with intelligent automation.
2Adaptability or versatility
If multiple participants present using different applications, then content versatility is improved, but synchronization difficulty increases
Solution Approach 1:
The system provides a universal solution that works across different applications and platforms. By using application-agnostic visual object detection and replacement mechanisms, the system ensures consistent automated presenter highlighting functionality regardless of which application participants use to share their content.
Solution Approach 2:
The meeting platform acts as an intermediary layer between different applications used by participants and the video conferencing system. This intermediary automatically detects visual objects from any application's shared content and coordinates the replacement with appropriate participant video feeds, ensuring synchronization across diverse applications.
3Ease of operation
If technical meeting setups become the focus, then control and monitoring are improved, but meeting purpose deteriorates
Solution Approach 1:
The system automatically manages the technical aspects of presenter highlighting through self-service automation. By detecting visual objects and autonomously replacing them with participant video feeds, the system handles technical control requirements without requiring manual intervention, thereby keeping the focus on the meeting content rather than technical setup.
Solution Approach 2:
The system extracts and automates the technical control functions related to presenter switching and highlighting. By taking out these technical management tasks from manual control and automating them through visual object detection and replacement, the system reduces the focus on technical setup while maintaining effective meeting control.
Data Source
AI summary
A natural language markup for meetings is introduced that facilitates planning and facilitation of online meetings. Shared content is obtained during an online meeting. The shared content is shared by a first participant in the online meeting for display on devices of one or more second participants in the online meeting. A visual object is detected in the shared content and additional content is obtained based on detecting the visual object. The additional content is transmitted with the shared content for display on the devices of the one or more second participants.