Video Summary Generation via Attendee Note Correlation
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Solution Overview
Problem
Large presentations or meetings generate extensive recordings that viewers may not find relevant, leading to inefficiencies when individuals miss parts of the meeting and rely on summaries from attendees, which can result in omissions.
Innovation Solution
A method to generate a summary video by analyzing attendee notes, correlating common topics with the presentation video, and creating personalized summaries using natural language processing and image analysis techniques, allowing for dynamic adjustment based on viewer feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire presentation recording is provided to viewers, then complete information is available, but viewers must watch unnecessary content reducing efficiency
Solution Approach 1:
The system extracts only the relevant portions of the presentation recording based on attendee notes. By analyzing notes collected from multiple attendees and correlating them with video timestamps, the system isolates and extracts only the segments containing important information, eliminating unnecessary content from the final summary video.
Solution Approach 2:
The system changes the parameter of video content by transforming a complete recording into a condensed summary. Through analysis of note patterns and correlation with video content, the system dynamically adjusts the video parameters (duration, content selection) to produce a summary that maintains information completeness while reducing viewing time.
2Ease of operation
If summaries are created manually by attendees, then personal perspectives are captured, but omissions and inconsistencies occur
Solution Approach 1:
The system merges notes from multiple attendees into a comprehensive summary. By collecting notes from numerous attendees and aggregating them, the system combines multiple personal perspectives into a single unified summary, reducing individual omissions and inconsistencies through collective input.
Solution Approach 2:
The system uses feedback from multiple attendees' notes to improve summary accuracy. By analyzing patterns across numerous notes and correlating them with video content, the system validates and refines the identified important segments, ensuring higher reliability through multi-source verification.
3Device complexity
If generic summaries are provided to all viewers, then creation complexity is reduced, but personalization and relevance are lost
Solution Approach 1:
The system applies local quality by customizing summary content for different viewer types. Instead of creating a single generic summary, the system generates different summary versions tailored to specific roles (e.g., sales team vs. technical team), ensuring each viewer receives content most relevant to their needs while maintaining manageable complexity through automated analysis.
Data Source
AI summary
A method, computer system, and a computer program product for generating a summary video from a plurality of presentation attendee notes is provided. Embodiments of the disclosure may include collecting the plurality of attendee notes from a plurality of attendees of a presentation and then analyzing the collected plurality of notes to identify a plurality of common note topics. The identified plurality of common note topics may be correlated to a plurality of portions in a presentation video of the presentation which is used to generate the summary video by combining the correlated plurality of portions in the presentation video.