Empowering Agentic Video Analytics Systems with Video Language Models
PositiveArtificial Intelligence
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.
— Curated by the World Pulse Now AI Editorial System







