Empowering Agentic Video Analytics Systems with Video Language Models

arXiv — cs.CVFriday, October 31, 2025 at 4:00:00 AM
Recent advancements in AI-driven video analytics are paving the way for more adaptable systems. Traditional video analytics often struggle with predefined tasks, but the introduction of Vision Language Models (VLMs) is changing the game. These models enhance the ability to understand and analyze video content in a more open-ended manner, which is crucial for various applications. This shift not only improves the effectiveness of video analytics but also opens up new possibilities for innovation in the field.
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