Web Conference Data Visualization via Type-Matched Templates
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Solution Overview
Problem
Current web conferencing technologies lack an efficient method to deliver visual data in a proper visualization format, making it difficult for participants to comprehensively review topics discussed during a conference, as captions and transcripts are often cumbersome and error-prone.
Innovation Solution
A method and system that identify the conference type based on acquired type-related information and match it with suitable visualization formats, extracting key information to create visual data within those formats, allowing for real-time, intuitive, and comprehensive visualization of conference topics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If captions and transcripts are used to deliver conference content, then participants can access conference information, but the delivery method is cumbersome and error-prone
Solution Approach 1:
The patent replaces the mechanical process of manually creating and reviewing captions/transcripts with an automated system that uses speech recognition, natural language processing, and template matching to generate visual summaries. This substitution eliminates manual errors and streamlines the review process by presenting information in pre-organized visual formats.
Solution Approach 2:
The system transforms conference content from raw text captions into structured visual data by changing the presentation parameters. Information is reorganized according to conference type templates, transforming unstructured text into categorized visual summaries with specific layouts optimized for different conference purposes.
2Productivity
If manual review of captions and transcripts is performed, then comprehensive review is possible, but it is time-consuming and inefficient
Solution Approach 1:
The system performs preliminary organization of conference content during the conference itself by automatically transcribing, categorizing, and structuring information according to conference type templates. This preliminary processing eliminates the need for time-consuming manual review after the conference, as summaries are already prepared in visual formats.
Solution Approach 2:
The system enables self-service by automatically generating comprehensive visual summaries without requiring manual intervention. The automated classification and visualization systems process conference content independently, allowing participants to review organized information immediately after conferences without investing time in manual analysis.
3Loss of information
If visual data is delivered without proper visualization formats, then data transmission is simple, but participants cannot comprehensively understand conference topics
Solution Approach 1:
The patent creates a universal system that handles multiple conference types through a single automated platform. The system identifies conference types and automatically applies appropriate visualization templates, making the complex task of format matching transparent to users while ensuring comprehensive information delivery across different conference purposes.
Solution Approach 2:
The system introduces an intermediary layer between raw conference data and participant consumption. This intermediary automatically classifies conference content, selects appropriate visualization formats based on conference type, and presents information in optimized visual structures, thereby preserving comprehensive information while simplifying the complexity of format selection for users.
Data Source
AI summary
Aspects of the present disclosure relate to data visualization in web conferences. Type-related information of a web conference can be acquired. A conference type of the web conference can be identified based on the acquired type-related information of the web conference and type templates stored in a type repository. A visualization format from a plurality of visualization formats stored in a format repository can be determined based on the identified conference type. Key information required by the determined visualization format can be extracted from raw data of the web conference. Visual data within the determined visual format can be created by populating the extracted key information into the determined visualization format.