Explanation of Intelligent Fragment Recognition Technology
Vizard's automated editing system uses deep learning models to analyze multiple dimensions of video content: identifying peak points of audience reaction such as applause and laughter through sound waveform detection, tracking the trajectory of screen subject movement and compositional changes using computer vision, and extracting keyword densities in the lines by combining with natural language processing technology. This multimodal analysis method can accurately mark potential highlight moments in the video above 80%, with a false positive rate lower than the industry average of 12%. Test data shows that the finished broadcast rate of AI-generated clips on TikTok is 23 percentage points higher than that of manual clips.
Intelligent Workflow
The system performs four stages of automatic editing: firstly, it conducts structured video analysis to disassemble the audio and visual elements into timeline data; then it runs the propagation potential prediction model to calculate the Viral Score of each clip according to the platform characteristics; then it automatically combines the adjacent highlights to form a coherent narrative; and finally it outputs the finished short video with intelligent transitions. Users can make secondary optimization through the 'Text Edit Video' function, directly modifying the transcribed text to synchronously adjust the corresponding screen, and this 'WYSIWYG' editing mode will increase the modification efficiency by 300%.
This answer comes from the articleVizard: Long videos are automatically edited into short, explosive videos suitable for social media promotion.The
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