greenland-dream/video-understanding
This repository provides core code for managing large volumes of video footage, enabling content understanding, automatic tagging, and vector database storage. It integrates multimodal models and LLMs for accurate descriptions and semantic search. A web interface allows visualization.
This project helps content creators, especially travel bloggers, manage large volumes of video footage by automatically understanding, tagging, and describing video content. It takes your raw video files and a brief text description of their origin, then outputs detailed tags, concise descriptions, and even script outlines. Anyone who produces video content and struggles with organizing and reusing their clips will find this useful.
No commits in the last 6 months.
Use this if you are a content creator or video editor with a large library of unorganized videos and need automated tools for tagging, searching, and script generation.
Not ideal if you primarily work with short, highly curated video clips or if your main focus is on professional video editing software integration rather than content understanding and search.
Stars
20
Forks
7
Language
Python
License
MIT
Category
Last pushed
Mar 25, 2025
Commits (30d)
0
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