The invention relates to the technical field of
artificial intelligence and
digital video processing, and discloses an AI-based intelligent video superposition
system and a dynamic transparency adjusting method, and the
system comprises a data collection module, a cognitive focus
processing module, a dynamic analysis engine module, an arbitration and
mask generation module, and a video synthesis and output module. The
system obtains background and coverage layer video streams and user original
gaze point data; the
staring point is processed through
time domain filtering, and a stable user cognitive focus state is output; the dynamic analysis engine analyzes the video content and generates an importance map and a
cognitive load; integrating all input execution arbitration logic to generate a target
mask, and performing
time domain smoothing to generate a final
mask; when the user watches the background, only the transparency of the non-key area of the covering layer is reduced; finally, the system uses the final mask to transparently mix the dual video streams. According to the method, the transparency can be adaptively adjusted, visual conflicts are effectively reduced, the
cognitive load of a user is reduced, and intelligent on-demand allocation of computing resources is realized.