Video clip extraction via text descriptions
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VCED enables users to automatically extract video segments matching textual descriptions, leveraging cross-modal search and vector retrieval. This project targets content creators and researchers seeking efficient video editing and search capabilities, offering a novel approach to video content discovery.
How It Works
The system employs a decoupled front-end and back-end architecture. The core functionality relies on the CLIP model for cross-modal understanding, converting text descriptions and video content into comparable vector embeddings. These embeddings are then indexed for efficient similarity search, allowing the system to locate relevant video clips based on semantic meaning rather than just keywords.
Quick Start & Requirements
git clone
and ./startup.sh
) or from source.startup.sh
script automates environment setup.Highlighted Details
Maintenance & Community
The project is led by Su Peng, with contributions from various individuals focusing on Jina tutorials, cross-modal models, backend, and frontend development. Community feedback is encouraged via GitHub Issues.
Licensing & Compatibility
Limitations & Caveats
Jina, a core dependency, does not officially support Windows; installation requires using WSL. The project is presented as a learning resource, implying potential for ongoing development and changes.
1 year ago
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