In-depth analysis of technical architecture
Short AI integrates three major technology modules: computer vision, natural language processing and audio analysis. Its vision engine adopts an improved version of the CLIP model, achieving a key frame recognition accuracy of 98.7%; its audio processing is based on the Whisper architecture, supporting real-time speech transcription in 14 languages.
Featured Technology Realization
- cross-modal alignment: Establishing a spatio-temporal correlation matrix of video frames, speech text and background music
- emotional calculation: Determining the emotional value of content through micro-expression recognition and voiceprint analysis
- Intelligent Rhythm Control: Automatically adjusts the pace of video clips based on platform characteristics (TikTok prefers fast-paced, YouTube Shorts tends to be narrative)
Practical application performance
When batch processing 1-hour lecture videos, the system can complete in 90 seconds: knowledge point segmentation (accuracy 92%), climax fragment extraction (recognition rate 89%), and academic terminology annotation (coverage 85%). This processing efficiency is more than 60 times that of traditional software such as Premiere.
This answer comes from the articleShort AI: Automatically generating short video content suitable for social media distributionThe
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