ENTER: Event Based Interpretable Reasoning for VideoQA
📰 ArXiv cs.AI
ENTER is an interpretable Video Question Answering system based on event graphs
Action Steps
- Convert videos into graphical representations using event graphs
- Generate code that parses event-graph for interpretable VideoQA
- Incorporate contextual visual information into the event graph
- Utilize event-event relationships (temporal/causal/hierarchical) to improve VideoQA accuracy
Who Needs to Know This
AI engineers and researchers on a team can benefit from ENTER as it provides an interpretable and structured approach to VideoQA, allowing for more transparent and explainable models
Key Insight
💡 ENTER provides an interpretable and structured approach to VideoQA using event graphs
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📹 ENTER: Event-based interpretable reasoning for VideoQA!
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