Ai-movie-clip's automated clips are realized by the following techniques:
- Video Content Analysis: Utilizes computer vision (CV) and machine learning (ML) to recognize key frames, subject objects, and scene content.
- Template Matching: Built-in multiple style templates (e.g., jitterbug style, educational), automatically matching clip logic based on user-selected templates.
- AI enhancements: Integrated text generation (OpenAI) and speech synthesis to automatically add subtitles/dubbing.
- Segmentation mechanism: Large files are cut into pieces and processed in parallel for final merged output.
Users can trigger the automation process by specifying parameters (e.g., duration, template) on the command line or by calling the API to pass in a JSON request.
This answer comes from the articleAi-movie-clip: an AI-driven automated video editing toolThe