📷 Searching for images from text with EmbeddingGemma 2
This video demonstrates the use of EmbeddingGemma 2, a lightweight, open multimodal embedding model, to enable advanced, completely offline media search directly on a mobile device. The system uses natural language queries and semantic similarity to locate specific photos and even precise moments within videos, eliminating the need for external APIs or intermediate transcription.
Key takeaways
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Semantic Media Search
Users can search their entire media library using natural language queries (e.g., 'dog playing fetch in the ocean'), allowing the system to find relevant content based on meaning, not just keywords.
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Video Moment Finding
The Video Moment Finder feature allows users to pinpoint specific segments within videos (e.g., searching for 'blowing out candles') instantly.
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Offline Capability
The entire search process operates directly on the phone, ensuring complete privacy and requiring no external API calls or intermediate transcription.