Introducing agentic video understanding with Gemini
Autonomous video analysis capabilities enable AI systems to extract insights and take actions based on visual content without human intervention.
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Google DeepMind has launched a new video analysis feature that allows AI models to actively search through video content rather than passively viewing it frame-by-frame. Instead of processing every frame at a fixed rate, the agentic video understanding capability lets the model decide what to watch, at what speed, and whether to examine video frames, audio, or transcripts. This approach reduces token consumption by up to 88 percent and costs by up to 66 percent while improving accuracy by up to 7 percent, with particularly large efficiency gains on long-form video content. The feature is now available through the Gemini API and will expand to the Gemini app and YouTube's Ask YouTube feature.
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