A dive into multi-modal embedding and frame search, two advanced video search techniques
Imagine a data scientist studying wildlife behavior, analyzing hundreds of hours of video footage from cameras in a remote forest. Or a sports coach who needs to identify key plays from an entire season's games to develop new strategies. Alternatively, consider a filmmaker searching for specific scenes within a massive video gallery to piece together a documentary.
Google Multimodal Embedding Model GPT-4 , Llava, Gemini, Flamingo, LaMDA Search and Retrieval Optimized for fast, accurate search and similarity Optimized for comprehensive understanding and generation across different data types.
Google Multimodal Embedding Model developed by OpenAI, is an AI model that learns to understand images through natural language, unlike traditional models that rely on specifically labeled images.
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