Intelligent Video Reconstruction Engine
KrillinAI's video processing engine uses dynamic layout algorithms to intelligently reconfigure video elements to fit different platform specifications. The technical implementation of the system consists of three key modules:
- Content-aware cropping: identify the video subject through target detection to avoid cropping of important content
- Intelligent subtitle repositioning: dynamically adjusts the position of subtitles according to the blank area of the screen
- Lossless Resolution Conversion: Maintains picture clarity with super-resolution technology
When dealing with horizontal to vertical screens, the system performs the following optimization steps: first analyze the video camera motion trajectory and automatically select the best 9:16 cropping region; then recalculate the subtitle font size and line spacing; and finally use the GAN network to fill in the edge blank region. Tests show that this solution improves the completion rate of 43% over the simple cropping method.
The platform's preset templates already cover mainstream video specifications, including YouTube's 1080p, TikTok's 720p, etc. Users can also customize output parameters. The system also provides a batch processing interface, which is suitable for MCN organizations to process content from multiple creators at the same time.
This answer comes from the articleKrillinAIThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil