Video search

Video search uses AI and machine learning to analyze video content—audio, visuals, and text—for precise, time-stamped retrieval.

This technology moves beyond simple metadata and transcripts: it leverages computer vision and deep learning to process raw audiovisual data at the frame and shot level. The system indexes rich features like object recognition (e.g., identifying over 20,000 entities: people, places, actions), speech-to-text conversion, and optical character recognition (OCR). This process converts petabytes of footage into searchable vector embeddings, enabling natural language queries like “find the scene where the car turns left”. Key benefits include rapid incident resolution, content moderation, and generating time-specific metadata for applications like contextual advertising or creating intelligent media archives.

https://cloud.google.com/video-intelligence