AI Video Analysis for Event Outcome Probability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional manual methods for analyzing event outcomes are time-consuming, prone to human errors, and lack reliability due to incomplete feedback, making it difficult to accurately determine outcome probabilities.
Innovation Solution
A system and method utilizing AI and machine learning techniques to analyze videos by extracting audio and video content, analyzing engagement, and computing outcome probabilities through a building block model and data lake, enabling continuous learning and improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to analyze event outcomes by interacting with participants, then feedback can be collected, but the process becomes time-consuming and prone to human errors
Solution Approach 1:
The patent replaces manual mechanical analysis methods with automated video analysis technology. The system uses video recording, audio transcription, and AI-based sentiment analysis to automatically process event data, eliminating the need for manual participant interactions and analysis while improving both speed and accuracy.
Solution Approach 2:
The system enables self-service analysis by automatically processing video recordings and generating outcome probabilities without requiring human analysts. The automated pipeline includes video extraction, audio transcription, sentiment analysis, and probability calculation, all performed by the system itself.
2Loss of information
If manual feedback collection is used, then participant opinions can be gathered, but the feedback may be incomplete or hesitant, reducing reliability
Solution Approach 1:
The system creates an accurate copy of participant feedback through video recording and audio transcription. Instead of relying on participants to voluntarily provide feedback, the system captures their actual words and expressions during the event, ensuring complete and authentic information collection.
Solution Approach 2:
The patent introduces video and audio recording as intermediaries between participants and the analysis process. These intermediaries capture complete feedback without being influenced by participant hesitation or reluctance to provide direct input to analysts.
3Ease of operation
If traditional analysis methods are used, then outcomes can be determined, but the representation is not systematic, reducing accuracy
Solution Approach 1:
The system transforms qualitative feedback into quantitative parameters by calculating sentiment scores and outcome probabilities. This systematic parameterization includes positive sentiment, negative sentiment, and outcome probability values, enabling precise measurement and comparison of event outcomes.
Solution Approach 2:
The analysis process is segmented into distinct systematic steps: video extraction, audio transcription, sentiment analysis, and probability calculation. Each segment produces structured output that contributes to the final systematic representation, improving measurement precision through methodical processing.
Data Source
AI summary
System and method for determining an outcome probability of an event based on videos are disclosed. The method includes receiving the videos of an event, creating a building block model, extracting one of an audio content, a video content from the videos, analysing extracted content, generating an analysis result, analysing an engagement between speaker and participant of event, generating a data lake comprising a keyword library, computing the outcome probability of the event, enabling the building block model to learn from the data lake and the outcome probability computed and representing the at least one outcome probability in a pre-defined format.