Event Summarization via Emotion Data Intermediary
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Solution Overview
Problem
Existing video analysis systems struggle to accurately summarize events when facial expressions of individuals in captured videos do not convey sufficient emotion or reaction information, leading to ambiguity in interpreting events, such as distinguishing between playful and aggressive interactions.
Innovation Solution
A computer-implemented method and multimedia system that processes primary video metadata and secondary metadata, including emotion and behavior-specific information, to generate queries and retrieve accurate event summarization matches from a database, utilizing a server system with processors and storage devices to analyze and store confirmed event summaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial expression analysis is used to summarize video events, then event interpretation accuracy improves, but the system fails when faces are not clearly visible or expressions are insufficient
Solution Approach 1:
The patent introduces secondary data (such as audio analysis, contextual information, or alternative video feeds) as an intermediary to supplement primary facial expression analysis. When faces are not clearly visible or expressions are insufficient, the system queries a database for correlated secondary data that can provide reaction information about the event, thereby maintaining reliability while preserving the benefit of facial expression analysis when available.
2Loss of information
If multiple data sources are integrated to improve event summarization, then information completeness improves, but system complexity increases
Solution Approach 1:
The patent segments the event analysis system into distinct functional modules: primary video processing, secondary data collection, database querying, and result integration. Each module handles a specific aspect of data processing independently. The system first processes primary video metadata for facial expressions, then separately collects and processes secondary metadata from multiple data sources, and finally integrates these results through a structured query mechanism, reducing overall system complexity through modular design.
Solution Approach 2:
The patent implements preliminary action by pre-collecting and storing secondary data in a database before it is needed for event summarization. The system proactively gathers reaction information from multiple sources and organizes it in advance, so that when an event needs summarization, the system can quickly query and integrate relevant pre-processed data without the complexity of real-time multi-source coordination.
Data Source
AI summary
A method, system and computer program product for event summarization facilitated by emotions/reactions of people near an event location is disclosed. The method includes generating a query based at least in part on reaction information and at least in part on primary video metadata. Based on the query, at least one possible event summarization match for the one or more events is retrieved from a database.