Image & Video Semantic Search

CLIP + multi-modal embedding semantic search across image and video libraries: object/scene/action detection, temporal segmentation, thumbnail clustering, natural-language query support, and vector-powered similarity matching at scale.

• Multi-modal CLIP embeddings for image and video frame similarity
• Object, scene, action detection, OCR text extraction from frames and video
• Temporal segmentation: shot boundary, scene change, key-frame extraction per video clip
• Natural language query: 3 words to find all videos mentioning X brand or Y activity
• Vector index: Milvus or Pinecone; scales to 100M+ clips with sub-10ms query

• Search video archives by description: find the clip of X product in Y city in 5 seconds vs. manual review
• Build visual product search for e-commerce: zero nuisance from differing angle, lighting, crop
• Auto-curate branded content: find all brand mentions in video without human review