EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
DeepMind Blog·Sep 1·5 min read
Introducing agentic video understanding with Gemini
TL;DR
DeepMind has launched agentic video understanding in its Gemini models, enhancing video analysis accuracy while significantly cutting costs and token usage. This advancement allows for dynamic video processing, improving tasks like moment retrieval and anomaly detection.
✦ Why It Matters
Start using Gemini's agentic video understanding today to enhance your video analysis projects and reduce costs.
Key Takeaways
- Implement agentic video understanding in your projects via the Gemini API.
- Leverage dynamic processing for long-form video analysis to save costs.
- Utilize sub-second moment retrieval for precise video editing tasks.
- Explore anomaly detection capabilities for improved video insights.
How It Works
Agentic video understanding allows Gemini models to actively determine which parts of a video to analyze, selecting the most relevant frames, audio, or transcripts. This is achieved through an agentic loop that reduces the need for manual intervention, enabling efficient processing and significant reductions in token usage.