VUSE: Video Understanding and Semantic Embedding

272 short form videos indexed - Powered by vuse-generic-v1
Want to see how it works? Watch a video demo

How does it work?



Depending on the file type, the content is split into logical parts in order to independently retain each's context



Each chunk is converted into a vector embedding, a numerical representation of its' meaning



You can then run semantic search queries such as the ones above to get relevant results.



The more you use it, the smarter it gets. Each interaction fine-tunes your specific search model.

Want a deep dive into the tech? Read about the model

What can you build?

Educational Content Search

Who: A student studying for an exam

What: Find specific content within a series of lengthy lecture videos

Why: Searching "mitochondria functions" for relevant discussions within a biology course.

Content Creation and Editing

Who: YouTube content creators or video editors

What: Locate specific clips within their video archives

Why: search for "laughing moments" or "funny fails" when compiling a highlight reel.

Healthcare and Medical Research

Who: Medical professionals

What: find specific content within educational or research videos

Why: a surgeon could search for "laparoscopic appendectomy procedure" within a database of surgical procedure videos

Film and TV Production

Who: Film and TV producers

What: find specific scenes or lines within a massive database of raw footage or scripts

Why: a director might search for "scenes in the rain" when compiling a mood board or reference reel

Media Monitoring and Analysis

Who: Any business with an online presence

What: for media monitoring, analyzing how often their brand or products are mentioned in videos

Why: a search for "Brand X reviews" to find relevant content within a vast array of product review videos.

Legal Case Preparation

Who: Lawyers and paralegals

What: find specific statements or discussions within hours of deposition or courtroom footage

Why: a search for "defendant's testimony about the incident" to quickly locate relevant segments.

Become a multimodal maker.

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