Video-text retrieval techniques endeavour to bridge the semantic gap between visual content and natural language descriptions. By learning joint representations for both video and text, these ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

The “Video Bank” is a system that automatically indexes supporting information (metadata) contained in stored programs and video materials for the purpose of efficient video retrieval and processing.

Google Gemini Embedding 2 unifies text, images, audio, PDFs, and video; it supports 3,072-dimension vectors, simplifying retrieval stacks.