Mixpeek Templates | Video Processing

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Video Processing

It's impossible to find what you’re looking for, nobody is properly tagging the videos and even models aren’t accurate.

mixpeek/vuse-generic-v1

How We Indexed the 1000 Top Movie Trailers for AI Apps

In the ever-evolving landscape of digital content, the ability to process vast amounts of unstructured data has become a game-changer. Today, we're excited to share how we leveraged Mixpeek to transform 1000 top movie trailers from simple video links into rich, structured data, opening up new possibilities for content discovery and analysis in the film industry. The Challenge The film industry generates an enormous amount of visual content, with trailers being a crucial component of movie ma

Technical Guides

Risk Assessment with Video Understanding

In today's data-driven world, insurance companies are constantly seeking innovative ways to assess risk accurately and efficiently. Mixpeek is a developer platform that transforms how insurers process and analyze vast amounts of unstructured data, particularly videos. By leveraging Mixpeek's automatic video understanding, insurance companies can now gain unprecedented insights into risk factors, leading to more accurate premium calculations and improved claim processing. The Power of Automati

Industries

Reverse Video Search

Reverse video search allows us to use a video clip as an input for a query against videos that have been indexed in a vector store.

Tutorials

Video Scene Detection Embedding Models

Using semantic video understanding models to intelligently locate key scenes across petabytes of videos.

Capabilities

Introducing VUSE: Video Understanding and Semantic Embedding

State-of-the art video understanding model that converts videos into embeddings.

Capabilities

Semantic Video Understanding

Semantic video understanding bridges the gap of labeling, enabling a complete analysis of video content.

Capabilities

Semantic Video Search

Semantic video search is a technology that utilizes machine learning and natural language processing to accurately analyze, retrieve, and understand the context of video content.

Tutorials