LensWalk: Agentic Video Understanding by Planning How You See in Videos
📰 ArXiv cs.AI
LensWalk enables agentic video understanding by planning how to perceive and reason about video content
Action Steps
- Introduce LensWalk as a flexible agentic framework for video understanding
- Utilize LensWalk to actively seek raw evidence from video and evolve understanding
- Apply LensWalk to various video analysis tasks, such as object detection and tracking
- Evaluate the performance of LensWalk against prevailing video understanding methods
Who Needs to Know This
Computer vision engineers and AI researchers can benefit from LensWalk as it enhances video analysis capabilities, while product managers can leverage it to improve video understanding applications
Key Insight
💡 LensWalk bridges the gap between reasoning and perception in video understanding by enabling active seeking of raw evidence
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📹 LensWalk: agentic video understanding by planning how you see in videos
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